Task5-food-classification-with-calories.ipynb

{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"name":"python","version":"3.10.13","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"},"kaggle":{"accelerator":"gpu","dataSources":[{"sourceId":11959,"sourceType":"datasetVersion","datasetId":8544}],"dockerImageVersionId":30700,"isInternetEnabled":true,"language":"python","sourceType":"notebook","isGpuEnabled":true}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"code","source":"import os\nimport cv2\nimport numpy as np\nimport pandas as pd\nimport keras as keras\nimport tensorflow as tf\nfrom keras.optimizers import SGD\nfrom keras.optimizers import Adam\nfrom tensorflow.keras.applications import VGG19\nfrom tensorflow.keras.models import Sequential,Model\nfrom sklearn.model_selection import train_test_split\nfrom tensorflow.keras.callbacks import EarlyStopping\nfrom keras.applications.inception_v3 import InceptionV3\nfrom tensorflow.keras.utils import load_img,img_to_array\nfrom tensorflow.keras.applications.densenet import DenseNet201\nfrom tensorflow.keras.preprocessing.image import ImageDataGenerator\nfrom tensorflow.keras.layers import Dense,Input,Flatten,Conv2D,MaxPooling2D,Dropout,Activation\nfrom keras.layers import Convolution2D, ZeroPadding2D, GlobalAveragePooling2D, AveragePooling2D\nfrom keras.callbacks import ModelCheckpoint, CSVLogger, LearningRateScheduler, ReduceLROnPlateau\n","metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","execution":{"iopub.status.busy":"2024-05-14T17:44:02.971722Z","iopub.execute_input":"2024-05-14T17:44:02.972575Z","iopub.status.idle":"2024-05-14T17:44:02.982715Z","shell.execute_reply.started":"2024-05-14T17:44:02.972542Z","shell.execute_reply":"2024-05-14T17:44:02.981652Z"},"trusted":true},"execution_count":39,"outputs":[]},{"cell_type":"code","source":"print(\"Inpute Files Directory\")\nprint(os.listdir('/kaggle/input/food-101/food-101/food-101'))\n\nprint(\"\\nMeta Files Directory\")\nprint(os.listdir('/kaggle/input/food-101/food-101/food-101/meta'))","metadata":{"execution":{"iopub.status.busy":"2024-05-14T17:44:04.152831Z","iopub.execute_input":"2024-05-14T17:44:04.153167Z","iopub.status.idle":"2024-05-14T17:44:04.161465Z","shell.execute_reply.started":"2024-05-14T17:44:04.153143Z","shell.execute_reply":"2024-05-14T17:44:04.160492Z"},"trusted":true},"execution_count":40,"outputs":[{"name":"stdout","text":"Inpute Files Directory\n['meta', 'README.txt', 'images', 'license_agreement.txt', '.DS_Store']\n\nMeta Files Directory\n['test.txt', 'train.json', 'labels.txt', 'test.json', 'train.txt', 'classes.txt']\n","output_type":"stream"}]},{"cell_type":"code","source":"print(os.listdir('/kaggle/input/food-101/food-101/food-101/images'))","metadata":{"execution":{"iopub.status.busy":"2024-05-14T17:44:08.055633Z","iopub.execute_input":"2024-05-14T17:44:08.056020Z","iopub.status.idle":"2024-05-14T17:44:08.061637Z","shell.execute_reply.started":"2024-05-14T17:44:08.055982Z","shell.execute_reply":"2024-05-14T17:44:08.060559Z"},"trusted":true},"execution_count":41,"outputs":[{"name":"stdout","text":"['macarons', 'french_toast', 'lobster_bisque', 'prime_rib', 'pork_chop', 'guacamole', 'baby_back_ribs', 'mussels', 'beef_carpaccio', 'poutine', 'hot_and_sour_soup', 'seaweed_salad', 'foie_gras', 'dumplings', 'peking_duck', 'takoyaki', 'bibimbap', 'falafel', 'pulled_pork_sandwich', 'lobster_roll_sandwich', 'carrot_cake', 'beet_salad', 'panna_cotta', 'donuts', 'red_velvet_cake', 'grilled_cheese_sandwich', 'cannoli', 'spring_rolls', 'shrimp_and_grits', 'clam_chowder', 'omelette', 'fried_calamari', 'caprese_salad', 'oysters', 'scallops', 'ramen', 'grilled_salmon', 'croque_madame', 'filet_mignon', 'hamburger', 'spaghetti_carbonara', 'miso_soup', 'bread_pudding', 'lasagna', 'crab_cakes', 'cheesecake', 'spaghetti_bolognese', 'cup_cakes', 'creme_brulee', 'waffles', 'fish_and_chips', 'paella', 'macaroni_and_cheese', 'chocolate_mousse', 'ravioli', 'chicken_curry', 'caesar_salad', 'nachos', 'tiramisu', 'frozen_yogurt', 'ice_cream', 'risotto', 'club_sandwich', 'strawberry_shortcake', 'steak', 'churros', 'garlic_bread', 'baklava', 'bruschetta', 'hummus', 'chicken_wings', 'greek_salad', 'tuna_tartare', 'chocolate_cake', 'gyoza', 'eggs_benedict', 'deviled_eggs', 'samosa', 'sushi', 'breakfast_burrito', 'ceviche', 'beef_tartare', 'apple_pie', '.DS_Store', 'huevos_rancheros', 'beignets', 'pizza', 'edamame', 'french_onion_soup', 'hot_dog', 'tacos', 'chicken_quesadilla', 'pho', 'gnocchi', 'pancakes', 'fried_rice', 'cheese_plate', 'onion_rings', 'escargots', 'sashimi', 'pad_thai', 'french_fries']\n","output_type":"stream"}]},{"cell_type":"code","source":"classes = ['macarons', 'french_toast', 'lobster_bisque', 'prime_rib', 'pork_chop', 'guacamole', 'baby_back_ribs', \n           'mussels', 'beef_carpaccio', 'poutine', 'hot_and_sour_soup', 'seaweed_salad', 'foie_gras', 'dumplings',\n           'peking_duck', 'takoyaki', 'bibimbap', 'falafel', 'pulled_pork_sandwich', 'lobster_roll_sandwich',\n           'carrot_cake', 'beet_salad', 'panna_cotta', 'donuts', 'red_velvet_cake', 'grilled_cheese_sandwich',\n           'cannoli', 'spring_rolls', 'shrimp_and_grits', 'clam_chowder', 'omelette', 'fried_calamari', \n           'caprese_salad', 'oysters', 'scallops', 'ramen', 'grilled_salmon', 'croque_madame', 'filet_mignon',\n           'hamburger', 'spaghetti_carbonara', 'miso_soup', 'bread_pudding', 'lasagna', 'crab_cakes', 'cheesecake',\n           'spaghetti_bolognese', 'cup_cakes', 'creme_brulee', 'waffles', 'fish_and_chips', 'paella',\n           'macaroni_and_cheese', 'chocolate_mousse', 'ravioli', 'chicken_curry', 'caesar_salad', 'nachos',\n           'tiramisu', 'frozen_yogurt', 'ice_cream', 'risotto', 'club_sandwich', 'strawberry_shortcake', 'steak', \n           'churros', 'garlic_bread', 'baklava', 'bruschetta', 'hummus', 'chicken_wings', 'greek_salad', \n           'tuna_tartare', 'chocolate_cake', 'gyoza', 'eggs_benedict', 'deviled_eggs', 'samosa', 'sushi',\n           'breakfast_burrito', 'ceviche', 'beef_tartare', 'apple_pie', '.DS_Store', 'huevos_rancheros', 'beignets', \n           'pizza', 'edamame', 'french_onion_soup', 'hot_dog', 'tacos', 'chicken_quesadilla', 'pho', 'gnocchi', \n           'pancakes', 'fried_rice', 'cheese_plate', 'onion_rings', 'escargots', 'sashimi', 'pad_thai', 'french_fries']\nclasses.sort()\nprint(len(classes))\nclasses\nclasses = classes[1:]\nprint(len(classes))\nclasses","metadata":{"execution":{"iopub.status.busy":"2024-05-14T17:44:10.879583Z","iopub.execute_input":"2024-05-14T17:44:10.880440Z","iopub.status.idle":"2024-05-14T17:44:10.894733Z","shell.execute_reply.started":"2024-05-14T17:44:10.880406Z","shell.execute_reply":"2024-05-14T17:44:10.893855Z"},"trusted":true},"execution_count":42,"outputs":[{"name":"stdout","text":"102\n101\n","output_type":"stream"},{"execution_count":42,"output_type":"execute_result","data":{"text/plain":"['apple_pie',\n 'baby_back_ribs',\n 'baklava',\n 'beef_carpaccio',\n 'beef_tartare',\n 'beet_salad',\n 'beignets',\n 'bibimbap',\n 'bread_pudding',\n 'breakfast_burrito',\n 'bruschetta',\n 'caesar_salad',\n 'cannoli',\n 'caprese_salad',\n 'carrot_cake',\n 'ceviche',\n 'cheese_plate',\n 'cheesecake',\n 'chicken_curry',\n 'chicken_quesadilla',\n 'chicken_wings',\n 'chocolate_cake',\n 'chocolate_mousse',\n 'churros',\n 'clam_chowder',\n 'club_sandwich',\n 'crab_cakes',\n 'creme_brulee',\n 'croque_madame',\n 'cup_cakes',\n 'deviled_eggs',\n 'donuts',\n 'dumplings',\n 'edamame',\n 'eggs_benedict',\n 'escargots',\n 'falafel',\n 'filet_mignon',\n 'fish_and_chips',\n 'foie_gras',\n 'french_fries',\n 'french_onion_soup',\n 'french_toast',\n 'fried_calamari',\n 'fried_rice',\n 'frozen_yogurt',\n 'garlic_bread',\n 'gnocchi',\n 'greek_salad',\n 'grilled_cheese_sandwich',\n 'grilled_salmon',\n 'guacamole',\n 'gyoza',\n 'hamburger',\n 'hot_and_sour_soup',\n 'hot_dog',\n 'huevos_rancheros',\n 'hummus',\n 'ice_cream',\n 'lasagna',\n 'lobster_bisque',\n 'lobster_roll_sandwich',\n 'macaroni_and_cheese',\n 'macarons',\n 'miso_soup',\n 'mussels',\n 'nachos',\n 'omelette',\n 'onion_rings',\n 'oysters',\n 'pad_thai',\n 'paella',\n 'pancakes',\n 'panna_cotta',\n 'peking_duck',\n 'pho',\n 'pizza',\n 'pork_chop',\n 'poutine',\n 'prime_rib',\n 'pulled_pork_sandwich',\n 'ramen',\n 'ravioli',\n 'red_velvet_cake',\n 'risotto',\n 'samosa',\n 'sashimi',\n 'scallops',\n 'seaweed_salad',\n 'shrimp_and_grits',\n 'spaghetti_bolognese',\n 'spaghetti_carbonara',\n 'spring_rolls',\n 'steak',\n 'strawberry_shortcake',\n 'sushi',\n 'tacos',\n 'takoyaki',\n 'tiramisu',\n 'tuna_tartare',\n 'waffles']"},"metadata":{}}]},{"cell_type":"code","source":"s = \"\"\"Apple Pie: ~2.5 calories per gram\nBaby Back Ribs: ~3.5 calories per gram\nBaklava: ~5 calories per gram\nBeef Carpaccio: ~2 calories per gram\nBeef Tartare: ~2.5 calories per gram\nBeet Salad: ~0.5 calories per gram\nBeignets: ~3.5 calories per gram\nBibimbap: ~1.5 calories per gram\nBread Pudding: ~2.5 calories per gram\nBreakfast Burrito: ~2 calories per gram\nBruschetta: ~1 calorie per gram\nCaesar Salad: ~0.5 calories per gram\nCannoli: ~3.5 calories per gram\nCaprese Salad: ~1 calorie per gram\nCarrot Cake: ~3.5 calories per gram\nCeviche: ~0.5 calories per gram\nCheese Plate: ~3.5 calories per gram\nCheesecake: ~3.5 calories per gram\nChicken Curry: ~1.5 calories per gram\nChicken Quesadilla: ~2.5 calories per gram\nChicken Wings: ~3 calories per gram\nChocolate Cake: ~4 calories per gram\nChocolate Mousse: ~3 calories per gram\nChurros: ~4 calories per gram\nClam Chowder: ~1.5 calories per gram\nClub Sandwich: ~2.5 calories per gram\nCrab Cakes: ~2 calories per gram\nCreme Brulee: ~3.5 calories per gram\nCroque Madame: ~3 calories per gram\nCupcakes: ~3.5 calories per gram\nDeviled Eggs: ~1 calorie per gram\nDonuts: ~4 calories per gram\nDumplings: ~2.5 calories per gram\nEdamame: ~1 calorie per gram\nEggs Benedict: ~2.5 calories per gram\nEscargots: ~1 calorie per gram\nFalafel: ~2 calories per gram\nFilet Mignon: ~2.5 calories per gram\nFish and Chips: ~2.5 calories per gram\nFoie Gras: ~4.5 calories per gram\nFrench Fries: ~3.5 calories per gram\nFrench Onion Soup: ~1 calorie per gram\nFrench Toast: ~2 calories per gram\nFried Calamari: ~2.5 calories per gram\nFried Rice: ~1.5 calories per gram\nFrozen Yogurt: ~1 calorie per gram\nGarlic Bread: ~4 calories per gram\nGnocchi: ~1.5 calories per gram\nGreek Salad: ~0.5 calories per gram\nGrilled Cheese Sandwich: ~3 calories per gram\nGrilled Salmon: ~2 calories per gram\nGuacamole: ~2 calories per gram\nGyoza: ~2 calories per gram\nHamburger: ~3.5 calories per gram\nHot and Sour Soup: ~0.5 calories per gram\nHot Dog: ~3.5 calories per gram\nHuevos Rancheros: ~2 calories per gram\nHummus: ~1.5 calories per gram\nIce Cream: ~2 calories per gram\nLasagna: ~1.5 calories per gram\nLobster Bisque: ~1 calorie per gram\nLobster Roll Sandwich: ~2.5 calories per gram\nMacaroni and Cheese: ~3 calories per gram\nMacarons: ~4 calories per gram\nMiso Soup: ~0.5 calories per gram\nMussels: ~0.5 calories per gram\nNachos: ~2.5 calories per gram\nOmelette: ~1.5 calories per gram\nOnion Rings: ~2.5 calories per gram\nOysters: ~0.5 calories per gram\nPad Thai: ~2 calories per gram\nPaella: ~1.5 calories per gram\nPancakes: ~2 calories per gram\nPanna Cotta: ~3.5 calories per gram\nPeking Duck: ~4 calories per gram\nPho: ~1 calorie per gram\nPizza: ~2.5 calories per gram\nPork Chop: ~2.5 calories per gram\nPoutine: ~2.5 calories per gram\nPrime Rib: ~2.5 calories per gram\nPulled Pork Sandwich: ~2.5 calories per gram\nRamen: ~1 calorie per gram\nRavioli: ~1.5 calories per gram\nRed Velvet Cake: ~4 calories per gram\nRisotto: ~1.5 calories per gram\nSamosa: ~2 calories per gram\nSashimi: ~1 calorie per gram\nScallops: ~1 calorie per gram\nSeaweed Salad: ~0.5 calories per gram\nShrimp and Grits: ~2 calories per gram\nSpaghetti Bolognese: ~1.5 calories per gram\nSpaghetti Carbonara: ~2 calories per gram\nSpring Rolls: ~1.5 calories per gram\nSteak: ~2.5 calories per gram\nStrawberry Shortcake: ~3.5 calories per gram\nSushi: ~1 calorie per gram\nTacos: ~2 calories per gram\nTakoyaki: ~2.5 calories per gram\nTiramisu: ~3 calories per gram\nTuna Tartare: ~1.5 calories per gram\nWaffles: ~2 calories per gram\n\"\"\"\ncalories = s.splitlines()\ncalories","metadata":{"execution":{"iopub.status.busy":"2024-05-14T17:44:12.734442Z","iopub.execute_input":"2024-05-14T17:44:12.735256Z","iopub.status.idle":"2024-05-14T17:44:12.747493Z","shell.execute_reply.started":"2024-05-14T17:44:12.735224Z","shell.execute_reply":"2024-05-14T17:44:12.746555Z"},"trusted":true},"execution_count":43,"outputs":[{"execution_count":43,"output_type":"execute_result","data":{"text/plain":"['Apple Pie: ~2.5 calories per gram',\n 'Baby Back Ribs: ~3.5 calories per gram',\n 'Baklava: ~5 calories per gram',\n 'Beef Carpaccio: ~2 calories per gram',\n 'Beef Tartare: ~2.5 calories per gram',\n 'Beet Salad: ~0.5 calories per gram',\n 'Beignets: ~3.5 calories per gram',\n 'Bibimbap: ~1.5 calories per gram',\n 'Bread Pudding: ~2.5 calories per gram',\n 'Breakfast Burrito: ~2 calories per gram',\n 'Bruschetta: ~1 calorie per gram',\n 'Caesar Salad: ~0.5 calories per gram',\n 'Cannoli: ~3.5 calories per gram',\n 'Caprese Salad: ~1 calorie per gram',\n 'Carrot Cake: ~3.5 calories per gram',\n 'Ceviche: ~0.5 calories per gram',\n 'Cheese Plate: ~3.5 calories per gram',\n 'Cheesecake: ~3.5 calories per gram',\n 'Chicken Curry: ~1.5 calories per gram',\n 'Chicken Quesadilla: ~2.5 calories per gram',\n 'Chicken Wings: ~3 calories per gram',\n 'Chocolate Cake: ~4 calories per gram',\n 'Chocolate Mousse: ~3 calories per gram',\n 'Churros: ~4 calories per gram',\n 'Clam Chowder: ~1.5 calories per gram',\n 'Club Sandwich: ~2.5 calories per gram',\n 'Crab Cakes: ~2 calories per gram',\n 'Creme Brulee: ~3.5 calories per gram',\n 'Croque Madame: ~3 calories per gram',\n 'Cupcakes: ~3.5 calories per gram',\n 'Deviled Eggs: ~1 calorie per gram',\n 'Donuts: ~4 calories per gram',\n 'Dumplings: ~2.5 calories per gram',\n 'Edamame: ~1 calorie per gram',\n 'Eggs Benedict: ~2.5 calories per gram',\n 'Escargots: ~1 calorie per gram',\n 'Falafel: ~2 calories per gram',\n 'Filet Mignon: ~2.5 calories per gram',\n 'Fish and Chips: ~2.5 calories per gram',\n 'Foie Gras: ~4.5 calories per gram',\n 'French Fries: ~3.5 calories per gram',\n 'French Onion Soup: ~1 calorie per gram',\n 'French Toast: ~2 calories per gram',\n 'Fried Calamari: ~2.5 calories per gram',\n 'Fried Rice: ~1.5 calories per gram',\n 'Frozen Yogurt: ~1 calorie per gram',\n 'Garlic Bread: ~4 calories per gram',\n 'Gnocchi: ~1.5 calories per gram',\n 'Greek Salad: ~0.5 calories per gram',\n 'Grilled Cheese Sandwich: ~3 calories per gram',\n 'Grilled Salmon: ~2 calories per gram',\n 'Guacamole: ~2 calories per gram',\n 'Gyoza: ~2 calories per gram',\n 'Hamburger: ~3.5 calories per gram',\n 'Hot and Sour Soup: ~0.5 calories per gram',\n 'Hot Dog: ~3.5 calories per gram',\n 'Huevos Rancheros: ~2 calories per gram',\n 'Hummus: ~1.5 calories per gram',\n 'Ice Cream: ~2 calories per gram',\n 'Lasagna: ~1.5 calories per gram',\n 'Lobster Bisque: ~1 calorie per gram',\n 'Lobster Roll Sandwich: ~2.5 calories per gram',\n 'Macaroni and Cheese: ~3 calories per gram',\n 'Macarons: ~4 calories per gram',\n 'Miso Soup: ~0.5 calories per gram',\n 'Mussels: ~0.5 calories per gram',\n 'Nachos: ~2.5 calories per gram',\n 'Omelette: ~1.5 calories per gram',\n 'Onion Rings: ~2.5 calories per gram',\n 'Oysters: ~0.5 calories per gram',\n 'Pad Thai: ~2 calories per gram',\n 'Paella: ~1.5 calories per gram',\n 'Pancakes: ~2 calories per gram',\n 'Panna Cotta: ~3.5 calories per gram',\n 'Peking Duck: ~4 calories per gram',\n 'Pho: ~1 calorie per gram',\n 'Pizza: ~2.5 calories per gram',\n 'Pork Chop: ~2.5 calories per gram',\n 'Poutine: ~2.5 calories per gram',\n 'Prime Rib: ~2.5 calories per gram',\n 'Pulled Pork Sandwich: ~2.5 calories per gram',\n 'Ramen: ~1 calorie per gram',\n 'Ravioli: ~1.5 calories per gram',\n 'Red Velvet Cake: ~4 calories per gram',\n 'Risotto: ~1.5 calories per gram',\n 'Samosa: ~2 calories per gram',\n 'Sashimi: ~1 calorie per gram',\n 'Scallops: ~1 calorie per gram',\n 'Seaweed Salad: ~0.5 calories per gram',\n 'Shrimp and Grits: ~2 calories per gram',\n 'Spaghetti Bolognese: ~1.5 calories per gram',\n 'Spaghetti Carbonara: ~2 calories per gram',\n 'Spring Rolls: ~1.5 calories per gram',\n 'Steak: ~2.5 calories per gram',\n 'Strawberry Shortcake: ~3.5 calories per gram',\n 'Sushi: ~1 calorie per gram',\n 'Tacos: ~2 calories per gram',\n 'Takoyaki: ~2.5 calories per gram',\n 'Tiramisu: ~3 calories per gram',\n 'Tuna Tartare: ~1.5 calories per gram',\n 'Waffles: ~2 calories per gram']"},"metadata":{}}]},{"cell_type":"code","source":"train_datagen = ImageDataGenerator(rescale = 1./255,\n                                  validation_split = 0.1)\n\ntrain_data = train_datagen.flow_from_directory('/kaggle/input/food-101/food-101/food-101/images/',\n                                              target_size = (224,224),\n                                              batch_size=100,\n                                              class_mode='categorical',\n                                              shuffle=True,\n                                              subset='training')\n\ntest_data = train_datagen.flow_from_directory('/kaggle/input/food-101/food-101/food-101/images/',\n                                               target_size=(224,224),\n                                               batch_size=100,\n                                               class_mode='categorical',\n                                               shuffle=False,\n                                               subset='validation')","metadata":{"execution":{"iopub.status.busy":"2024-05-14T17:44:17.039577Z","iopub.execute_input":"2024-05-14T17:44:17.040251Z","iopub.status.idle":"2024-05-14T17:44:22.109673Z","shell.execute_reply.started":"2024-05-14T17:44:17.040221Z","shell.execute_reply":"2024-05-14T17:44:22.108935Z"},"trusted":true},"execution_count":45,"outputs":[{"name":"stdout","text":"Found 90900 images belonging to 101 classes.\nFound 10100 images belonging to 101 classes.\n","output_type":"stream"}]},{"cell_type":"code","source":"train_data.image_shape","metadata":{"execution":{"iopub.status.busy":"2024-05-14T17:44:22.111493Z","iopub.execute_input":"2024-05-14T17:44:22.112315Z","iopub.status.idle":"2024-05-14T17:44:22.118143Z","shell.execute_reply.started":"2024-05-14T17:44:22.112281Z","shell.execute_reply":"2024-05-14T17:44:22.117318Z"},"trusted":true},"execution_count":46,"outputs":[{"execution_count":46,"output_type":"execute_result","data":{"text/plain":"(224, 224, 3)"},"metadata":{}}]},{"cell_type":"code","source":"print(np.unique(train_data.labels))\ntrain_data.class_indices","metadata":{"execution":{"iopub.status.busy":"2024-05-14T17:44:25.039526Z","iopub.execute_input":"2024-05-14T17:44:25.040363Z","iopub.status.idle":"2024-05-14T17:44:25.052172Z","shell.execute_reply.started":"2024-05-14T17:44:25.040334Z","shell.execute_reply":"2024-05-14T17:44:25.051201Z"},"trusted":true},"execution_count":47,"outputs":[{"name":"stdout","text":"[  0   1   2   3   4   5   6   7   8   9  10  11  12  13  14  15  16  17\n  18  19  20  21  22  23  24  25  26  27  28  29  30  31  32  33  34  35\n  36  37  38  39  40  41  42  43  44  45  46  47  48  49  50  51  52  53\n  54  55  56  57  58  59  60  61  62  63  64  65  66  67  68  69  70  71\n  72  73  74  75  76  77  78  79  80  81  82  83  84  85  86  87  88  89\n  90  91  92  93  94  95  96  97  98  99 100]\n","output_type":"stream"},{"execution_count":47,"output_type":"execute_result","data":{"text/plain":"{'apple_pie': 0,\n 'baby_back_ribs': 1,\n 'baklava': 2,\n 'beef_carpaccio': 3,\n 'beef_tartare': 4,\n 'beet_salad': 5,\n 'beignets': 6,\n 'bibimbap': 7,\n 'bread_pudding': 8,\n 'breakfast_burrito': 9,\n 'bruschetta': 10,\n 'caesar_salad': 11,\n 'cannoli': 12,\n 'caprese_salad': 13,\n 'carrot_cake': 14,\n 'ceviche': 15,\n 'cheese_plate': 16,\n 'cheesecake': 17,\n 'chicken_curry': 18,\n 'chicken_quesadilla': 19,\n 'chicken_wings': 20,\n 'chocolate_cake': 21,\n 'chocolate_mousse': 22,\n 'churros': 23,\n 'clam_chowder': 24,\n 'club_sandwich': 25,\n 'crab_cakes': 26,\n 'creme_brulee': 27,\n 'croque_madame': 28,\n 'cup_cakes': 29,\n 'deviled_eggs': 30,\n 'donuts': 31,\n 'dumplings': 32,\n 'edamame': 33,\n 'eggs_benedict': 34,\n 'escargots': 35,\n 'falafel': 36,\n 'filet_mignon': 37,\n 'fish_and_chips': 38,\n 'foie_gras': 39,\n 'french_fries': 40,\n 'french_onion_soup': 41,\n 'french_toast': 42,\n 'fried_calamari': 43,\n 'fried_rice': 44,\n 'frozen_yogurt': 45,\n 'garlic_bread': 46,\n 'gnocchi': 47,\n 'greek_salad': 48,\n 'grilled_cheese_sandwich': 49,\n 'grilled_salmon': 50,\n 'guacamole': 51,\n 'gyoza': 52,\n 'hamburger': 53,\n 'hot_and_sour_soup': 54,\n 'hot_dog': 55,\n 'huevos_rancheros': 56,\n 'hummus': 57,\n 'ice_cream': 58,\n 'lasagna': 59,\n 'lobster_bisque': 60,\n 'lobster_roll_sandwich': 61,\n 'macaroni_and_cheese': 62,\n 'macarons': 63,\n 'miso_soup': 64,\n 'mussels': 65,\n 'nachos': 66,\n 'omelette': 67,\n 'onion_rings': 68,\n 'oysters': 69,\n 'pad_thai': 70,\n 'paella': 71,\n 'pancakes': 72,\n 'panna_cotta': 73,\n 'peking_duck': 74,\n 'pho': 75,\n 'pizza': 76,\n 'pork_chop': 77,\n 'poutine': 78,\n 'prime_rib': 79,\n 'pulled_pork_sandwich': 80,\n 'ramen': 81,\n 'ravioli': 82,\n 'red_velvet_cake': 83,\n 'risotto': 84,\n 'samosa': 85,\n 'sashimi': 86,\n 'scallops': 87,\n 'seaweed_salad': 88,\n 'shrimp_and_grits': 89,\n 'spaghetti_bolognese': 90,\n 'spaghetti_carbonara': 91,\n 'spring_rolls': 92,\n 'steak': 93,\n 'strawberry_shortcake': 94,\n 'sushi': 95,\n 'tacos': 96,\n 'takoyaki': 97,\n 'tiramisu': 98,\n 'tuna_tartare': 99,\n 'waffles': 100}"},"metadata":{}}]},{"cell_type":"code","source":"new_input = Input(shape=(224,224,3))\nbase_model = DenseNet201(weights = 'imagenet',\n                        include_top = False,\n                        input_tensor = new_input)","metadata":{"execution":{"iopub.status.busy":"2024-05-14T17:44:26.655492Z","iopub.execute_input":"2024-05-14T17:44:26.655875Z","iopub.status.idle":"2024-05-14T17:44:33.785977Z","shell.execute_reply.started":"2024-05-14T17:44:26.655845Z","shell.execute_reply":"2024-05-14T17:44:33.785194Z"},"trusted":true},"execution_count":48,"outputs":[{"name":"stdout","text":"Downloading data from https://storage.googleapis.com/tensorflow/keras-applications/densenet/densenet201_weights_tf_dim_ordering_tf_kernels_notop.h5\n\u001b[1m74836368/74836368\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 0us/step\n","output_type":"stream"}]},{"cell_type":"code","source":"for layer in base_model.layers[:]:\n  layer.trainable = False","metadata":{"execution":{"iopub.status.busy":"2024-05-14T17:45:01.811877Z","iopub.execute_input":"2024-05-14T17:45:01.812733Z","iopub.status.idle":"2024-05-14T17:45:01.836086Z","shell.execute_reply.started":"2024-05-14T17:45:01.812696Z","shell.execute_reply":"2024-05-14T17:45:01.835127Z"},"trusted":true},"execution_count":49,"outputs":[]},{"cell_type":"code","source":"model_dn = Sequential()\nmodel_dn.add(base_model)\nmodel_dn.add(Flatten())\nmodel_dn.add(Dense(1000, activation='relu'))\nmodel_dn.add(Dense(1000, activation='relu'))\nmodel_dn.add(Dense(101, activation='softmax'))\nmodel_dn.summary()","metadata":{"execution":{"iopub.status.busy":"2024-05-14T17:45:04.942889Z","iopub.execute_input":"2024-05-14T17:45:04.943268Z","iopub.status.idle":"2024-05-14T17:45:04.999612Z","shell.execute_reply.started":"2024-05-14T17:45:04.943239Z","shell.execute_reply":"2024-05-14T17:45:04.998730Z"},"trusted":true},"execution_count":50,"outputs":[{"output_type":"display_data","data":{"text/plain":"\u001b[1mModel: \"sequential\"\u001b[0m\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">Model: \"sequential\"</span>\n</pre>\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓\n┃\u001b[1m \u001b[0m\u001b[1mLayer (type)                   \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mOutput Shape          \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1m      Param #\u001b[0m\u001b[1m \u001b[0m┃\n┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩\n│ densenet201 (\u001b[38;5;33mFunctional\u001b[0m)        │ ?                      │    \u001b[38;5;34m18,321,984\u001b[0m │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ flatten_3 (\u001b[38;5;33mFlatten\u001b[0m)             │ ?                      │   \u001b[38;5;34m0\u001b[0m (unbuilt) │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ dense_3 (\u001b[38;5;33mDense\u001b[0m)                 │ ?                      │   \u001b[38;5;34m0\u001b[0m (unbuilt) │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ dense_4 (\u001b[38;5;33mDense\u001b[0m)                 │ ?                      │   \u001b[38;5;34m0\u001b[0m (unbuilt) │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ dense_5 (\u001b[38;5;33mDense\u001b[0m)                 │ ?                      │   \u001b[38;5;34m0\u001b[0m (unbuilt) │\n└─────────────────────────────────┴────────────────────────┴───────────────┘\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓\n┃<span style=\"font-weight: bold\"> Layer (type)                    </span>┃<span style=\"font-weight: bold\"> Output Shape           </span>┃<span style=\"font-weight: bold\">       Param # </span>┃\n┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩\n│ densenet201 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Functional</span>)        │ ?                      │    <span style=\"color: #00af00; text-decoration-color: #00af00\">18,321,984</span> │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ flatten_3 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Flatten</span>)             │ ?                      │   <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> (unbuilt) │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ dense_3 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dense</span>)                 │ ?                      │   <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> (unbuilt) │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ dense_4 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dense</span>)                 │ ?                      │   <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> (unbuilt) │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ dense_5 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dense</span>)                 │ ?                      │   <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> (unbuilt) │\n└─────────────────────────────────┴────────────────────────┴───────────────┘\n</pre>\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"\u001b[1m Total params: \u001b[0m\u001b[38;5;34m18,321,984\u001b[0m (69.89 MB)\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Total params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">18,321,984</span> (69.89 MB)\n</pre>\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"\u001b[1m Trainable params: \u001b[0m\u001b[38;5;34m0\u001b[0m (0.00 B)\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Trainable params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> (0.00 B)\n</pre>\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"\u001b[1m Non-trainable params: \u001b[0m\u001b[38;5;34m18,321,984\u001b[0m (69.89 MB)\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Non-trainable params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">18,321,984</span> (69.89 MB)\n</pre>\n"},"metadata":{}}]},{"cell_type":"code","source":"model_dn.compile(loss='categorical_crossentropy',optimizer=Adam(learning_rate=0.001), metrics=['accuracy'])\n\nresults_dn = model_dn.fit(train_data, epochs=15, validation_data=test_data,\n                  steps_per_epoch=len(train_data), validation_steps=len(test_data),\n                  callbacks = EarlyStopping(patience=5, monitor='val_accuracy',restore_best_weights=True)\n                  )","metadata":{"execution":{"iopub.status.busy":"2024-05-14T17:45:08.711028Z","iopub.execute_input":"2024-05-14T17:45:08.711617Z","iopub.status.idle":"2024-05-14T18:17:27.664468Z","shell.execute_reply.started":"2024-05-14T17:45:08.711586Z","shell.execute_reply":"2024-05-14T18:17:27.663540Z"},"trusted":true},"execution_count":51,"outputs":[{"name":"stdout","text":"Epoch 1/15\n\u001b[1m  1/909\u001b[0m \u001b[37m━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[1m17:54:40\u001b[0m 71s/step - accuracy: 0.0100 - loss: 5.0730","output_type":"stream"},{"name":"stderr","text":"W0000 00:00:1715708780.414652     135 graph_launch.cc:671] Fallback to op-by-op mode because memset node breaks graph update\n","output_type":"stream"},{"name":"stdout","text":"\u001b[1m909/909\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 426ms/step - accuracy: 0.3052 - loss: 6.2790","output_type":"stream"},{"name":"stderr","text":"W0000 00:00:1715709186.213995     133 graph_launch.cc:671] Fallback to op-by-op mode because memset node breaks graph update\n","output_type":"stream"},{"name":"stdout","text":"\u001b[1m909/909\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m520s\u001b[0m 495ms/step - accuracy: 0.3053 - loss: 6.2755 - val_accuracy: 0.4936 - val_loss: 1.9893\nEpoch 2/15\n\u001b[1m909/909\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 115us/step - accuracy: 0.0000e+00 - loss: 0.0000e+00 - val_accuracy: 0.0000e+00 - val_loss: 0.0000e+00\nEpoch 3/15\n\u001b[1m909/909\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m354s\u001b[0m 387ms/step - accuracy: 0.5713 - loss: 1.6285 - val_accuracy: 0.5154 - val_loss: 1.9334\nEpoch 4/15\n\u001b[1m909/909\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 38us/step - accuracy: 0.0000e+00 - loss: 0.0000e+00 - val_accuracy: 0.0000e+00 - val_loss: 0.0000e+00\nEpoch 5/15\n\u001b[1m909/909\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m356s\u001b[0m 389ms/step - accuracy: 0.6432 - loss: 1.3171 - val_accuracy: 0.5249 - val_loss: 1.9569\nEpoch 6/15\n\u001b[1m909/909\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 37us/step - accuracy: 0.0000e+00 - loss: 0.0000e+00 - val_accuracy: 0.0000e+00 - val_loss: 0.0000e+00\nEpoch 7/15\n\u001b[1m909/909\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m352s\u001b[0m 385ms/step - accuracy: 0.6828 - loss: 1.1529 - val_accuracy: 0.5223 - val_loss: 2.0538\nEpoch 8/15\n\u001b[1m909/909\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 36us/step - accuracy: 0.0000e+00 - loss: 0.0000e+00 - val_accuracy: 0.0000e+00 - val_loss: 0.0000e+00\nEpoch 9/15\n\u001b[1m909/909\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m354s\u001b[0m 386ms/step - accuracy: 0.7180 - loss: 1.0035 - val_accuracy: 0.5149 - val_loss: 2.1346\nEpoch 10/15\n\u001b[1m909/909\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 35us/step - accuracy: 0.0000e+00 - loss: 0.0000e+00 - val_accuracy: 0.0000e+00 - val_loss: 0.0000e+00\n","output_type":"stream"}]},{"cell_type":"code","source":"vgg = VGG19(weights='imagenet', include_top=False, input_shape=(224,224,3))\nvgg.summary()","metadata":{"execution":{"iopub.status.busy":"2024-05-14T10:51:58.428780Z","iopub.execute_input":"2024-05-14T10:51:58.429524Z","iopub.status.idle":"2024-05-14T10:52:02.323979Z","shell.execute_reply.started":"2024-05-14T10:51:58.429488Z","shell.execute_reply":"2024-05-14T10:52:02.323077Z"},"trusted":true},"execution_count":16,"outputs":[{"name":"stdout","text":"Downloading data from https://storage.googleapis.com/tensorflow/keras-applications/vgg19/vgg19_weights_tf_dim_ordering_tf_kernels_notop.h5\n\u001b[1m80134624/80134624\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 0us/step\n","output_type":"stream"},{"output_type":"display_data","data":{"text/plain":"\u001b[1mModel: \"vgg19\"\u001b[0m\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">Model: \"vgg19\"</span>\n</pre>\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓\n┃\u001b[1m \u001b[0m\u001b[1mLayer (type)                   \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mOutput Shape          \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1m      Param #\u001b[0m\u001b[1m \u001b[0m┃\n┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩\n│ input_layer_2 (\u001b[38;5;33mInputLayer\u001b[0m)      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m224\u001b[0m, \u001b[38;5;34m224\u001b[0m, \u001b[38;5;34m3\u001b[0m)    │             \u001b[38;5;34m0\u001b[0m │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ block1_conv1 (\u001b[38;5;33mConv2D\u001b[0m)           │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m224\u001b[0m, \u001b[38;5;34m224\u001b[0m, \u001b[38;5;34m64\u001b[0m)   │         \u001b[38;5;34m1,792\u001b[0m │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ block1_conv2 (\u001b[38;5;33mConv2D\u001b[0m)           │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m224\u001b[0m, \u001b[38;5;34m224\u001b[0m, \u001b[38;5;34m64\u001b[0m)   │        \u001b[38;5;34m36,928\u001b[0m │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ block1_pool (\u001b[38;5;33mMaxPooling2D\u001b[0m)      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m64\u001b[0m)   │             \u001b[38;5;34m0\u001b[0m │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ block2_conv1 (\u001b[38;5;33mConv2D\u001b[0m)           │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m128\u001b[0m)  │        \u001b[38;5;34m73,856\u001b[0m │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ block2_conv2 (\u001b[38;5;33mConv2D\u001b[0m)           │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m128\u001b[0m)  │       \u001b[38;5;34m147,584\u001b[0m │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ block2_pool (\u001b[38;5;33mMaxPooling2D\u001b[0m)      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m128\u001b[0m)    │             \u001b[38;5;34m0\u001b[0m │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ block3_conv1 (\u001b[38;5;33mConv2D\u001b[0m)           │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m256\u001b[0m)    │       \u001b[38;5;34m295,168\u001b[0m │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ block3_conv2 (\u001b[38;5;33mConv2D\u001b[0m)           │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m256\u001b[0m)    │       \u001b[38;5;34m590,080\u001b[0m │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ block3_conv3 (\u001b[38;5;33mConv2D\u001b[0m)           │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m256\u001b[0m)    │       \u001b[38;5;34m590,080\u001b[0m │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ block3_conv4 (\u001b[38;5;33mConv2D\u001b[0m)           │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m256\u001b[0m)    │       \u001b[38;5;34m590,080\u001b[0m │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ block3_pool (\u001b[38;5;33mMaxPooling2D\u001b[0m)      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m256\u001b[0m)    │             \u001b[38;5;34m0\u001b[0m │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ block4_conv1 (\u001b[38;5;33mConv2D\u001b[0m)           │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m512\u001b[0m)    │     \u001b[38;5;34m1,180,160\u001b[0m │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ block4_conv2 (\u001b[38;5;33mConv2D\u001b[0m)           │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m512\u001b[0m)    │     \u001b[38;5;34m2,359,808\u001b[0m │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ block4_conv3 (\u001b[38;5;33mConv2D\u001b[0m)           │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m512\u001b[0m)    │     \u001b[38;5;34m2,359,808\u001b[0m │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ block4_conv4 (\u001b[38;5;33mConv2D\u001b[0m)           │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m512\u001b[0m)    │     \u001b[38;5;34m2,359,808\u001b[0m │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ block4_pool (\u001b[38;5;33mMaxPooling2D\u001b[0m)      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m512\u001b[0m)    │             \u001b[38;5;34m0\u001b[0m │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ block5_conv1 (\u001b[38;5;33mConv2D\u001b[0m)           │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m512\u001b[0m)    │     \u001b[38;5;34m2,359,808\u001b[0m │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ block5_conv2 (\u001b[38;5;33mConv2D\u001b[0m)           │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m512\u001b[0m)    │     \u001b[38;5;34m2,359,808\u001b[0m │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ block5_conv3 (\u001b[38;5;33mConv2D\u001b[0m)           │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m512\u001b[0m)    │     \u001b[38;5;34m2,359,808\u001b[0m │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ block5_conv4 (\u001b[38;5;33mConv2D\u001b[0m)           │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m512\u001b[0m)    │     \u001b[38;5;34m2,359,808\u001b[0m │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ block5_pool (\u001b[38;5;33mMaxPooling2D\u001b[0m)      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m512\u001b[0m)      │             \u001b[38;5;34m0\u001b[0m │\n└─────────────────────────────────┴────────────────────────┴───────────────┘\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓\n┃<span style=\"font-weight: bold\"> Layer (type)                    </span>┃<span style=\"font-weight: bold\"> Output Shape           </span>┃<span style=\"font-weight: bold\">       Param # </span>┃\n┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩\n│ input_layer_2 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">InputLayer</span>)      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">224</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">224</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">3</span>)    │             <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ block1_conv1 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)           │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">224</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">224</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)   │         <span style=\"color: #00af00; text-decoration-color: #00af00\">1,792</span> │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ block1_conv2 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)           │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">224</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">224</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)   │        <span style=\"color: #00af00; text-decoration-color: #00af00\">36,928</span> │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ block1_pool (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MaxPooling2D</span>)      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)   │             <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ block2_conv1 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)           │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)  │        <span style=\"color: #00af00; text-decoration-color: #00af00\">73,856</span> │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ block2_conv2 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)           │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)  │       <span style=\"color: #00af00; text-decoration-color: #00af00\">147,584</span> │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ block2_pool (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MaxPooling2D</span>)      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)    │             <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ block3_conv1 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)           │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)    │       <span style=\"color: #00af00; text-decoration-color: #00af00\">295,168</span> │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ block3_conv2 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)           │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)    │       <span style=\"color: #00af00; text-decoration-color: #00af00\">590,080</span> │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ block3_conv3 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)           │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)    │       <span style=\"color: #00af00; text-decoration-color: #00af00\">590,080</span> │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ block3_conv4 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)           │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)    │       <span style=\"color: #00af00; text-decoration-color: #00af00\">590,080</span> │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ block3_pool (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MaxPooling2D</span>)      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)    │             <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ block4_conv1 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)           │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">1,180,160</span> │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ block4_conv2 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)           │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">2,359,808</span> │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ block4_conv3 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)           │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">2,359,808</span> │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ block4_conv4 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)           │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">2,359,808</span> │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ block4_pool (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MaxPooling2D</span>)      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)    │             <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ block5_conv1 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)           │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">2,359,808</span> │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ block5_conv2 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)           │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">2,359,808</span> │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ block5_conv3 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)           │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">2,359,808</span> │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ block5_conv4 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)           │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">2,359,808</span> │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ block5_pool (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MaxPooling2D</span>)      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)      │             <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n└─────────────────────────────────┴────────────────────────┴───────────────┘\n</pre>\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"\u001b[1m Total params: \u001b[0m\u001b[38;5;34m20,024,384\u001b[0m (76.39 MB)\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Total params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">20,024,384</span> (76.39 MB)\n</pre>\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"\u001b[1m Trainable params: \u001b[0m\u001b[38;5;34m20,024,384\u001b[0m (76.39 MB)\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Trainable params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">20,024,384</span> (76.39 MB)\n</pre>\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"\u001b[1m Non-trainable params: \u001b[0m\u001b[38;5;34m0\u001b[0m (0.00 B)\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Non-trainable params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> (0.00 B)\n</pre>\n"},"metadata":{}}]},{"cell_type":"code","source":"for layer in vgg.layers:\n    layer.trainable = False\nvgg.summary()","metadata":{"execution":{"iopub.status.busy":"2024-05-14T10:52:06.160475Z","iopub.execute_input":"2024-05-14T10:52:06.161160Z","iopub.status.idle":"2024-05-14T10:52:06.197889Z","shell.execute_reply.started":"2024-05-14T10:52:06.161127Z","shell.execute_reply":"2024-05-14T10:52:06.197026Z"},"trusted":true},"execution_count":17,"outputs":[{"output_type":"display_data","data":{"text/plain":"\u001b[1mModel: \"vgg19\"\u001b[0m\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">Model: \"vgg19\"</span>\n</pre>\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓\n┃\u001b[1m \u001b[0m\u001b[1mLayer (type)                   \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mOutput Shape          \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1m      Param #\u001b[0m\u001b[1m \u001b[0m┃\n┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩\n│ input_layer_2 (\u001b[38;5;33mInputLayer\u001b[0m)      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m224\u001b[0m, \u001b[38;5;34m224\u001b[0m, \u001b[38;5;34m3\u001b[0m)    │             \u001b[38;5;34m0\u001b[0m │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ block1_conv1 (\u001b[38;5;33mConv2D\u001b[0m)           │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m224\u001b[0m, \u001b[38;5;34m224\u001b[0m, \u001b[38;5;34m64\u001b[0m)   │         \u001b[38;5;34m1,792\u001b[0m │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ block1_conv2 (\u001b[38;5;33mConv2D\u001b[0m)           │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m224\u001b[0m, \u001b[38;5;34m224\u001b[0m, \u001b[38;5;34m64\u001b[0m)   │        \u001b[38;5;34m36,928\u001b[0m │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ block1_pool (\u001b[38;5;33mMaxPooling2D\u001b[0m)      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m64\u001b[0m)   │             \u001b[38;5;34m0\u001b[0m │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ block2_conv1 (\u001b[38;5;33mConv2D\u001b[0m)           │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m128\u001b[0m)  │        \u001b[38;5;34m73,856\u001b[0m │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ block2_conv2 (\u001b[38;5;33mConv2D\u001b[0m)           │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m128\u001b[0m)  │       \u001b[38;5;34m147,584\u001b[0m │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ block2_pool (\u001b[38;5;33mMaxPooling2D\u001b[0m)      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m128\u001b[0m)    │             \u001b[38;5;34m0\u001b[0m │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ block3_conv1 (\u001b[38;5;33mConv2D\u001b[0m)           │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m256\u001b[0m)    │       \u001b[38;5;34m295,168\u001b[0m │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ block3_conv2 (\u001b[38;5;33mConv2D\u001b[0m)           │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m256\u001b[0m)    │       \u001b[38;5;34m590,080\u001b[0m │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ block3_conv3 (\u001b[38;5;33mConv2D\u001b[0m)           │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m256\u001b[0m)    │       \u001b[38;5;34m590,080\u001b[0m │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ block3_conv4 (\u001b[38;5;33mConv2D\u001b[0m)           │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m256\u001b[0m)    │       \u001b[38;5;34m590,080\u001b[0m │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ block3_pool (\u001b[38;5;33mMaxPooling2D\u001b[0m)      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m256\u001b[0m)    │             \u001b[38;5;34m0\u001b[0m │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ block4_conv1 (\u001b[38;5;33mConv2D\u001b[0m)           │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m512\u001b[0m)    │     \u001b[38;5;34m1,180,160\u001b[0m │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ block4_conv2 (\u001b[38;5;33mConv2D\u001b[0m)           │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m512\u001b[0m)    │     \u001b[38;5;34m2,359,808\u001b[0m │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ block4_conv3 (\u001b[38;5;33mConv2D\u001b[0m)           │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m512\u001b[0m)    │     \u001b[38;5;34m2,359,808\u001b[0m │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ block4_conv4 (\u001b[38;5;33mConv2D\u001b[0m)           │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m512\u001b[0m)    │     \u001b[38;5;34m2,359,808\u001b[0m │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ block4_pool (\u001b[38;5;33mMaxPooling2D\u001b[0m)      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m512\u001b[0m)    │             \u001b[38;5;34m0\u001b[0m │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ block5_conv1 (\u001b[38;5;33mConv2D\u001b[0m)           │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m512\u001b[0m)    │     \u001b[38;5;34m2,359,808\u001b[0m │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ block5_conv2 (\u001b[38;5;33mConv2D\u001b[0m)           │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m512\u001b[0m)    │     \u001b[38;5;34m2,359,808\u001b[0m │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ block5_conv3 (\u001b[38;5;33mConv2D\u001b[0m)           │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m512\u001b[0m)    │     \u001b[38;5;34m2,359,808\u001b[0m │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ block5_conv4 (\u001b[38;5;33mConv2D\u001b[0m)           │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m512\u001b[0m)    │     \u001b[38;5;34m2,359,808\u001b[0m │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ block5_pool (\u001b[38;5;33mMaxPooling2D\u001b[0m)      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m512\u001b[0m)      │             \u001b[38;5;34m0\u001b[0m │\n└─────────────────────────────────┴────────────────────────┴───────────────┘\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓\n┃<span style=\"font-weight: bold\"> Layer (type)                    </span>┃<span style=\"font-weight: bold\"> Output Shape           </span>┃<span style=\"font-weight: bold\">       Param # </span>┃\n┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩\n│ input_layer_2 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">InputLayer</span>)      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">224</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">224</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">3</span>)    │             <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ block1_conv1 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)           │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">224</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">224</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)   │         <span style=\"color: #00af00; text-decoration-color: #00af00\">1,792</span> │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ block1_conv2 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)           │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">224</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">224</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)   │        <span style=\"color: #00af00; text-decoration-color: #00af00\">36,928</span> │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ block1_pool (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MaxPooling2D</span>)      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)   │             <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ block2_conv1 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)           │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)  │        <span style=\"color: #00af00; text-decoration-color: #00af00\">73,856</span> │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ block2_conv2 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)           │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)  │       <span style=\"color: #00af00; text-decoration-color: #00af00\">147,584</span> │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ block2_pool (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MaxPooling2D</span>)      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)    │             <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ block3_conv1 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)           │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)    │       <span style=\"color: #00af00; text-decoration-color: #00af00\">295,168</span> │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ block3_conv2 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)           │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)    │       <span style=\"color: #00af00; text-decoration-color: #00af00\">590,080</span> │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ block3_conv3 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)           │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)    │       <span style=\"color: #00af00; text-decoration-color: #00af00\">590,080</span> │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ block3_conv4 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)           │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)    │       <span style=\"color: #00af00; text-decoration-color: #00af00\">590,080</span> │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ block3_pool (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MaxPooling2D</span>)      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)    │             <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ block4_conv1 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)           │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">1,180,160</span> │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ block4_conv2 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)           │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">2,359,808</span> │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ block4_conv3 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)           │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">2,359,808</span> │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ block4_conv4 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)           │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">2,359,808</span> │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ block4_pool (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MaxPooling2D</span>)      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)    │             <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ block5_conv1 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)           │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">2,359,808</span> │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ block5_conv2 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)           │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">2,359,808</span> │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ block5_conv3 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)           │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">2,359,808</span> │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ block5_conv4 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)           │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">2,359,808</span> │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ block5_pool (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MaxPooling2D</span>)      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)      │             <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n└─────────────────────────────────┴────────────────────────┴───────────────┘\n</pre>\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"\u001b[1m Total params: \u001b[0m\u001b[38;5;34m20,024,384\u001b[0m (76.39 MB)\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Total params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">20,024,384</span> (76.39 MB)\n</pre>\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"\u001b[1m Trainable params: \u001b[0m\u001b[38;5;34m0\u001b[0m (0.00 B)\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Trainable params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> (0.00 B)\n</pre>\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"\u001b[1m Non-trainable params: \u001b[0m\u001b[38;5;34m20,024,384\u001b[0m (76.39 MB)\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Non-trainable params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">20,024,384</span> (76.39 MB)\n</pre>\n"},"metadata":{}}]},{"cell_type":"code","source":"model_vgg = Sequential()\nmodel_vgg.add(vgg)\nmodel_vgg.add(Flatten())\nmodel_vgg.add(Dense(4096, activation='relu'))\nmodel_vgg.add(Dense(4096, activation='relu'))\nmodel_vgg.add(Dropout(0.25))\nmodel_vgg.add(Dense(101, activation='softmax'))\nmodel_vgg.summary()","metadata":{"execution":{"iopub.status.busy":"2024-05-14T10:52:10.344868Z","iopub.execute_input":"2024-05-14T10:52:10.345222Z","iopub.status.idle":"2024-05-14T10:52:10.376840Z","shell.execute_reply.started":"2024-05-14T10:52:10.345194Z","shell.execute_reply":"2024-05-14T10:52:10.375833Z"},"trusted":true},"execution_count":18,"outputs":[{"output_type":"display_data","data":{"text/plain":"\u001b[1mModel: \"sequential_1\"\u001b[0m\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">Model: \"sequential_1\"</span>\n</pre>\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓\n┃\u001b[1m \u001b[0m\u001b[1mLayer (type)                   \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mOutput Shape          \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1m      Param #\u001b[0m\u001b[1m \u001b[0m┃\n┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩\n│ vgg19 (\u001b[38;5;33mFunctional\u001b[0m)              │ ?                      │    \u001b[38;5;34m20,024,384\u001b[0m │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ flatten_1 (\u001b[38;5;33mFlatten\u001b[0m)             │ ?                      │   \u001b[38;5;34m0\u001b[0m (unbuilt) │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ dense_3 (\u001b[38;5;33mDense\u001b[0m)                 │ ?                      │   \u001b[38;5;34m0\u001b[0m (unbuilt) │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ dense_4 (\u001b[38;5;33mDense\u001b[0m)                 │ ?                      │   \u001b[38;5;34m0\u001b[0m (unbuilt) │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ dropout (\u001b[38;5;33mDropout\u001b[0m)               │ ?                      │             \u001b[38;5;34m0\u001b[0m │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ dense_5 (\u001b[38;5;33mDense\u001b[0m)                 │ ?                      │   \u001b[38;5;34m0\u001b[0m (unbuilt) │\n└─────────────────────────────────┴────────────────────────┴───────────────┘\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓\n┃<span style=\"font-weight: bold\"> Layer (type)                    </span>┃<span style=\"font-weight: bold\"> Output Shape           </span>┃<span style=\"font-weight: bold\">       Param # </span>┃\n┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩\n│ vgg19 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Functional</span>)              │ ?                      │    <span style=\"color: #00af00; text-decoration-color: #00af00\">20,024,384</span> │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ flatten_1 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Flatten</span>)             │ ?                      │   <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> (unbuilt) │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ dense_3 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dense</span>)                 │ ?                      │   <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> (unbuilt) │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ dense_4 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dense</span>)                 │ ?                      │   <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> (unbuilt) │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ dropout (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)               │ ?                      │             <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ dense_5 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dense</span>)                 │ ?                      │   <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> (unbuilt) │\n└─────────────────────────────────┴────────────────────────┴───────────────┘\n</pre>\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"\u001b[1m Total params: \u001b[0m\u001b[38;5;34m20,024,384\u001b[0m (76.39 MB)\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Total params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">20,024,384</span> (76.39 MB)\n</pre>\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"\u001b[1m Trainable params: \u001b[0m\u001b[38;5;34m0\u001b[0m (0.00 B)\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Trainable params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> (0.00 B)\n</pre>\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"\u001b[1m Non-trainable params: \u001b[0m\u001b[38;5;34m20,024,384\u001b[0m (76.39 MB)\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Non-trainable params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">20,024,384</span> (76.39 MB)\n</pre>\n"},"metadata":{}}]},{"cell_type":"code","source":"model_vgg.compile(loss='categorical_crossentropy',optimizer=Adam(learning_rate=0.001), metrics=['accuracy'])\n\nresults_vgg = model_vgg.fit(train_data, epochs=5, validation_data=test_data,\n                  steps_per_epoch=len(train_data), validation_steps=len(test_data),\n                  callbacks = EarlyStopping(patience=5, monitor='val_accuracy',restore_best_weights=True)\n                  )","metadata":{"execution":{"iopub.status.busy":"2024-05-14T10:52:44.133572Z","iopub.execute_input":"2024-05-14T10:52:44.133954Z","iopub.status.idle":"2024-05-14T11:42:42.827124Z","shell.execute_reply.started":"2024-05-14T10:52:44.133925Z","shell.execute_reply":"2024-05-14T11:42:42.826233Z"},"trusted":true},"execution_count":20,"outputs":[{"name":"stdout","text":"Epoch 1/50\n","output_type":"stream"},{"name":"stderr","text":"2024-05-14 10:52:56.732691: E external/local_xla/xla/service/slow_operation_alarm.cc:65] Trying algorithm eng15{k5=1,k6=0,k7=1,k10=1} for conv (f32[100,64,224,224]{3,2,1,0}, u8[0]{0}) custom-call(f32[100,3,224,224]{3,2,1,0}, f32[64,3,3,3]{3,2,1,0}, f32[64]{0}), window={size=3x3 pad=1_1x1_1}, dim_labels=bf01_oi01->bf01, custom_call_target=\"__cudnn$convBiasActivationForward\", backend_config={\"conv_result_scale\":1,\"activation_mode\":\"kRelu\",\"side_input_scale\":0,\"leakyrelu_alpha\":0} is taking a while...\n2024-05-14 10:52:57.915462: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 0: 4.63575, expected 3.88662\n2024-05-14 10:52:57.915523: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 1: 5.83747, expected 5.08834\n2024-05-14 10:52:57.915537: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 3: 6.21971, expected 5.47058\n2024-05-14 10:52:57.915549: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 4: 5.53505, expected 4.78592\n2024-05-14 10:52:57.915562: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 5: 5.8316, expected 5.08247\n2024-05-14 10:52:57.915574: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 6: 5.52729, expected 4.77816\n2024-05-14 10:52:57.915584: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 7: 5.17641, expected 4.42728\n2024-05-14 10:52:57.915594: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 8: 4.89661, expected 4.14748\n2024-05-14 10:52:57.915604: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 9: 5.85751, expected 5.10839\n2024-05-14 10:52:57.915615: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 10: 5.18009, expected 4.43096\n2024-05-14 10:52:58.056615: E external/local_xla/xla/service/gpu/conv_algorithm_picker.cc:705] Results mismatch between different convolution algorithms. This is likely a bug/unexpected loss of precision in cudnn.\n(f32[100,64,224,224]{3,2,1,0}, u8[0]{0}) custom-call(f32[100,3,224,224]{3,2,1,0}, f32[64,3,3,3]{3,2,1,0}, f32[64]{0}), window={size=3x3 pad=1_1x1_1}, dim_labels=bf01_oi01->bf01, custom_call_target=\"__cudnn$convBiasActivationForward\", backend_config={\"conv_result_scale\":1,\"activation_mode\":\"kRelu\",\"side_input_scale\":0,\"leakyrelu_alpha\":0} for eng20{k2=1,k4=1,k5=1,k6=0,k7=0} vs eng15{k5=1,k6=0,k7=1,k10=1}\n2024-05-14 10:52:58.056681: E external/local_xla/xla/service/gpu/conv_algorithm_picker.cc:270] Device: Tesla P100-PCIE-16GB\n2024-05-14 10:52:58.056694: E external/local_xla/xla/service/gpu/conv_algorithm_picker.cc:271] Platform: Compute Capability 6.0\n2024-05-14 10:52:58.056706: E external/local_xla/xla/service/gpu/conv_algorithm_picker.cc:272] Driver: 12020 (535.129.3)\n2024-05-14 10:52:58.056718: E external/local_xla/xla/service/gpu/conv_algorithm_picker.cc:273] Runtime: <undefined>\n2024-05-14 10:52:58.056743: E external/local_xla/xla/service/gpu/conv_algorithm_picker.cc:280] cudnn version: 8.9.0\n2024-05-14 10:52:58.056798: E external/local_xla/xla/service/slow_operation_alarm.cc:133] The operation took 2.324218817s\nTrying algorithm eng15{k5=1,k6=0,k7=1,k10=1} for conv (f32[100,64,224,224]{3,2,1,0}, u8[0]{0}) custom-call(f32[100,3,224,224]{3,2,1,0}, f32[64,3,3,3]{3,2,1,0}, f32[64]{0}), window={size=3x3 pad=1_1x1_1}, dim_labels=bf01_oi01->bf01, custom_call_target=\"__cudnn$convBiasActivationForward\", backend_config={\"conv_result_scale\":1,\"activation_mode\":\"kRelu\",\"side_input_scale\":0,\"leakyrelu_alpha\":0} is taking a while...\n2024-05-14 10:53:00.208419: E external/local_xla/xla/service/slow_operation_alarm.cc:65] Trying algorithm eng15{k5=1,k6=0,k7=1,k10=1} for conv (f32[100,64,224,224]{3,2,1,0}, u8[0]{0}) custom-call(f32[100,3,224,224]{3,2,1,0}, f32[64,3,3,3]{3,2,1,0}, f32[64]{0}), window={size=3x3 pad=1_1x1_1}, dim_labels=bf01_oi01->bf01, custom_call_target=\"__cudnn$convBiasActivationForward\", backend_config={\"conv_result_scale\":1,\"activation_mode\":\"kRelu\",\"side_input_scale\":0,\"leakyrelu_alpha\":0} is taking a while...\n2024-05-14 10:53:01.421046: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 0: 4.63575, expected 3.88662\n2024-05-14 10:53:01.421107: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 1: 5.83747, expected 5.08834\n2024-05-14 10:53:01.421117: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 3: 6.21971, expected 5.47058\n2024-05-14 10:53:01.421125: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 4: 5.53505, expected 4.78592\n2024-05-14 10:53:01.421133: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 5: 5.8316, expected 5.08247\n2024-05-14 10:53:01.421141: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 6: 5.52729, expected 4.77816\n2024-05-14 10:53:01.421150: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 7: 5.17641, expected 4.42728\n2024-05-14 10:53:01.421157: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 8: 4.89661, expected 4.14748\n2024-05-14 10:53:01.421165: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 9: 5.85751, expected 5.10839\n2024-05-14 10:53:01.421173: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 10: 5.18009, expected 4.43096\n2024-05-14 10:53:01.577639: E external/local_xla/xla/service/gpu/conv_algorithm_picker.cc:705] Results mismatch between different convolution algorithms. This is likely a bug/unexpected loss of precision in cudnn.\n(f32[100,64,224,224]{3,2,1,0}, u8[0]{0}) custom-call(f32[100,3,224,224]{3,2,1,0}, f32[64,3,3,3]{3,2,1,0}, f32[64]{0}), window={size=3x3 pad=1_1x1_1}, dim_labels=bf01_oi01->bf01, custom_call_target=\"__cudnn$convBiasActivationForward\", backend_config={\"conv_result_scale\":1,\"activation_mode\":\"kRelu\",\"side_input_scale\":0,\"leakyrelu_alpha\":0} for eng20{k2=1,k4=1,k5=1,k6=0,k7=0} vs eng15{k5=1,k6=0,k7=1,k10=1}\n2024-05-14 10:53:01.577701: E external/local_xla/xla/service/gpu/conv_algorithm_picker.cc:270] Device: Tesla P100-PCIE-16GB\n2024-05-14 10:53:01.577710: E external/local_xla/xla/service/gpu/conv_algorithm_picker.cc:271] Platform: Compute Capability 6.0\n2024-05-14 10:53:01.577717: E external/local_xla/xla/service/gpu/conv_algorithm_picker.cc:272] Driver: 12020 (535.129.3)\n2024-05-14 10:53:01.577725: E external/local_xla/xla/service/gpu/conv_algorithm_picker.cc:273] Runtime: <undefined>\n2024-05-14 10:53:01.577744: E external/local_xla/xla/service/gpu/conv_algorithm_picker.cc:280] cudnn version: 8.9.0\n2024-05-14 10:53:01.577788: E external/local_xla/xla/service/slow_operation_alarm.cc:133] The operation took 2.369515778s\nTrying algorithm eng15{k5=1,k6=0,k7=1,k10=1} for conv (f32[100,64,224,224]{3,2,1,0}, u8[0]{0}) custom-call(f32[100,3,224,224]{3,2,1,0}, f32[64,3,3,3]{3,2,1,0}, f32[64]{0}), window={size=3x3 pad=1_1x1_1}, dim_labels=bf01_oi01->bf01, custom_call_target=\"__cudnn$convBiasActivationForward\", backend_config={\"conv_result_scale\":1,\"activation_mode\":\"kRelu\",\"side_input_scale\":0,\"leakyrelu_alpha\":0} is taking a while...\nW0000 00:00:1715684022.697432     122 graph_launch.cc:671] Fallback to op-by-op mode because memset node breaks graph update\n","output_type":"stream"},{"name":"stdout","text":"\u001b[1m909/909\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 363ms/step - accuracy: 0.0922 - loss: 4.7853","output_type":"stream"},{"name":"stderr","text":"W0000 00:00:1715684354.789191     122 graph_launch.cc:671] Fallback to op-by-op mode because memset node breaks graph update\n","output_type":"stream"},{"name":"stdout","text":"\u001b[1m909/909\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m427s\u001b[0m 406ms/step - accuracy: 0.0923 - loss: 4.7842 - val_accuracy: 0.1869 - val_loss: 3.4132\nEpoch 2/50\n\u001b[1m909/909\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19us/step - accuracy: 0.0000e+00 - loss: 0.0000e+00 - val_accuracy: 0.0000e+00 - val_loss: 0.0000e+00\nEpoch 3/50\n\u001b[1m909/909\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m360s\u001b[0m 393ms/step - accuracy: 0.2211 - loss: 3.2197 - val_accuracy: 0.2076 - val_loss: 3.3060\nEpoch 4/50\n\u001b[1m909/909\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 14us/step - accuracy: 0.0000e+00 - loss: 0.0000e+00 - val_accuracy: 0.0000e+00 - val_loss: 0.0000e+00\nEpoch 5/50\n\u001b[1m909/909\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m374s\u001b[0m 408ms/step - accuracy: 0.2636 - loss: 2.9755 - val_accuracy: 0.2152 - val_loss: 3.2985\nEpoch 6/50\n\u001b[1m909/909\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 14us/step - accuracy: 0.0000e+00 - loss: 0.0000e+00 - val_accuracy: 0.0000e+00 - val_loss: 0.0000e+00\nEpoch 7/50\n\u001b[1m909/909\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m372s\u001b[0m 406ms/step - accuracy: 0.2928 - loss: 2.8144 - val_accuracy: 0.2175 - val_loss: 3.3265\nEpoch 8/50\n\u001b[1m909/909\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 14us/step - accuracy: 0.0000e+00 - loss: 0.0000e+00 - val_accuracy: 0.0000e+00 - val_loss: 0.0000e+00\nEpoch 9/50\n\u001b[1m909/909\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m381s\u001b[0m 416ms/step - accuracy: 0.3230 - loss: 2.6729 - val_accuracy: 0.2196 - val_loss: 3.4301\nEpoch 10/50\n\u001b[1m909/909\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 14us/step - accuracy: 0.0000e+00 - loss: 0.0000e+00 - val_accuracy: 0.0000e+00 - val_loss: 0.0000e+00\nEpoch 11/50\n\u001b[1m909/909\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m363s\u001b[0m 397ms/step - accuracy: 0.3474 - loss: 2.5525 - val_accuracy: 0.2214 - val_loss: 3.3840\nEpoch 12/50\n\u001b[1m909/909\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 14us/step - accuracy: 0.0000e+00 - loss: 0.0000e+00 - val_accuracy: 0.0000e+00 - val_loss: 0.0000e+00\nEpoch 13/50\n\u001b[1m909/909\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m360s\u001b[0m 394ms/step - accuracy: 0.3642 - loss: 2.4587 - val_accuracy: 0.2128 - val_loss: 3.5426\nEpoch 14/50\n\u001b[1m909/909\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 15us/step - accuracy: 0.0000e+00 - loss: 0.0000e+00 - val_accuracy: 0.0000e+00 - val_loss: 0.0000e+00\nEpoch 15/50\n\u001b[1m909/909\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m360s\u001b[0m 393ms/step - accuracy: 0.3812 - loss: 2.3784 - val_accuracy: 0.2125 - val_loss: 3.5879\nEpoch 16/50\n\u001b[1m909/909\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 15us/step - accuracy: 0.0000e+00 - loss: 0.0000e+00 - val_accuracy: 0.0000e+00 - val_loss: 0.0000e+00\n","output_type":"stream"}]},{"cell_type":"code","source":"from keras.applications import InceptionV3\nfrom keras.layers import Input, AveragePooling2D, Dropout, Flatten, Dense\nfrom keras.models import Model\nfrom keras.regularizers import l2\n\n# Assuming other parts of your code remain unchanged\n\ninception = InceptionV3(weights='imagenet', include_top=False, input_tensor=Input(shape=(224, 224, 3)))\n\nx = inception.output\nx = AveragePooling2D(pool_size=(2, 2))(x)\nx = Dropout(0.5)(x)\nx = Flatten()(x)\nx = Dense(101, kernel_initializer='glorot_uniform', kernel_regularizer=l2(0.0005), activation='softmax')(x)\n\nmodel_incep = Model(inputs=inception.input, outputs=x)\nmodel_incep.summary()\n","metadata":{"execution":{"iopub.status.busy":"2024-05-14T16:32:03.235959Z","iopub.execute_input":"2024-05-14T16:32:03.236316Z","iopub.status.idle":"2024-05-14T16:32:05.807505Z","shell.execute_reply.started":"2024-05-14T16:32:03.236288Z","shell.execute_reply":"2024-05-14T16:32:05.806625Z"},"trusted":true},"execution_count":24,"outputs":[{"output_type":"display_data","data":{"text/plain":"\u001b[1mModel: \"functional_5\"\u001b[0m\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">Model: \"functional_5\"</span>\n</pre>\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"┏━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┓\n┃\u001b[1m \u001b[0m\u001b[1mLayer (type)       \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mOutput Shape     \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1m   Param #\u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mConnected to     \u001b[0m\u001b[1m \u001b[0m┃\n┡━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━┩\n│ input_layer_2       │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m224\u001b[0m, \u001b[38;5;34m224\u001b[0m,  │          \u001b[38;5;34m0\u001b[0m │ -                 │\n│ (\u001b[38;5;33mInputLayer\u001b[0m)        │ \u001b[38;5;34m3\u001b[0m)                │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_188 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m111\u001b[0m, \u001b[38;5;34m111\u001b[0m,  │        \u001b[38;5;34m864\u001b[0m │ input_layer_2[\u001b[38;5;34m0\u001b[0m]… │\n│                     │ \u001b[38;5;34m32\u001b[0m)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m111\u001b[0m, \u001b[38;5;34m111\u001b[0m,  │         \u001b[38;5;34m96\u001b[0m │ conv2d_188[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m32\u001b[0m)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_188      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m111\u001b[0m, \u001b[38;5;34m111\u001b[0m,  │          \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n│ (\u001b[38;5;33mActivation\u001b[0m)        │ \u001b[38;5;34m32\u001b[0m)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_189 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m109\u001b[0m, \u001b[38;5;34m109\u001b[0m,  │      \u001b[38;5;34m9,216\u001b[0m │ activation_188[\u001b[38;5;34m0\u001b[0m… │\n│                     │ \u001b[38;5;34m32\u001b[0m)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m109\u001b[0m, \u001b[38;5;34m109\u001b[0m,  │         \u001b[38;5;34m96\u001b[0m │ conv2d_189[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m32\u001b[0m)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_189      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m109\u001b[0m, \u001b[38;5;34m109\u001b[0m,  │          \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n│ (\u001b[38;5;33mActivation\u001b[0m)        │ \u001b[38;5;34m32\u001b[0m)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_190 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m109\u001b[0m, \u001b[38;5;34m109\u001b[0m,  │     \u001b[38;5;34m18,432\u001b[0m │ activation_189[\u001b[38;5;34m0\u001b[0m… │\n│                     │ \u001b[38;5;34m64\u001b[0m)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m109\u001b[0m, \u001b[38;5;34m109\u001b[0m,  │        \u001b[38;5;34m192\u001b[0m │ conv2d_190[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m64\u001b[0m)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_190      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m109\u001b[0m, \u001b[38;5;34m109\u001b[0m,  │          \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n│ (\u001b[38;5;33mActivation\u001b[0m)        │ \u001b[38;5;34m64\u001b[0m)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ max_pooling2d_8     │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m54\u001b[0m, \u001b[38;5;34m54\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ activation_190[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mMaxPooling2D\u001b[0m)      │ \u001b[38;5;34m64\u001b[0m)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_191 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m54\u001b[0m, \u001b[38;5;34m54\u001b[0m,    │      \u001b[38;5;34m5,120\u001b[0m │ max_pooling2d_8[\u001b[38;5;34m…\u001b[0m │\n│                     │ \u001b[38;5;34m80\u001b[0m)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m54\u001b[0m, \u001b[38;5;34m54\u001b[0m,    │        \u001b[38;5;34m240\u001b[0m │ conv2d_191[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m80\u001b[0m)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_191      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m54\u001b[0m, \u001b[38;5;34m54\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n│ (\u001b[38;5;33mActivation\u001b[0m)        │ \u001b[38;5;34m80\u001b[0m)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_192 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m52\u001b[0m, \u001b[38;5;34m52\u001b[0m,    │    \u001b[38;5;34m138,240\u001b[0m │ activation_191[\u001b[38;5;34m0\u001b[0m… │\n│                     │ \u001b[38;5;34m192\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m52\u001b[0m, \u001b[38;5;34m52\u001b[0m,    │        \u001b[38;5;34m576\u001b[0m │ conv2d_192[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m192\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_192      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m52\u001b[0m, \u001b[38;5;34m52\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n│ (\u001b[38;5;33mActivation\u001b[0m)        │ \u001b[38;5;34m192\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ max_pooling2d_9     │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ activation_192[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mMaxPooling2D\u001b[0m)      │ \u001b[38;5;34m192\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_196 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m,    │     \u001b[38;5;34m12,288\u001b[0m │ max_pooling2d_9[\u001b[38;5;34m…\u001b[0m │\n│                     │ \u001b[38;5;34m64\u001b[0m)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m,    │        \u001b[38;5;34m192\u001b[0m │ conv2d_196[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m64\u001b[0m)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_196      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n│ (\u001b[38;5;33mActivation\u001b[0m)        │ \u001b[38;5;34m64\u001b[0m)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_194 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m,    │      \u001b[38;5;34m9,216\u001b[0m │ max_pooling2d_9[\u001b[38;5;34m…\u001b[0m │\n│                     │ \u001b[38;5;34m48\u001b[0m)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_197 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m,    │     \u001b[38;5;34m55,296\u001b[0m │ activation_196[\u001b[38;5;34m0\u001b[0m… │\n│                     │ \u001b[38;5;34m96\u001b[0m)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m,    │        \u001b[38;5;34m144\u001b[0m │ conv2d_194[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m48\u001b[0m)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m,    │        \u001b[38;5;34m288\u001b[0m │ conv2d_197[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m96\u001b[0m)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_194      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n│ (\u001b[38;5;33mActivation\u001b[0m)        │ \u001b[38;5;34m48\u001b[0m)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_197      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n│ (\u001b[38;5;33mActivation\u001b[0m)        │ \u001b[38;5;34m96\u001b[0m)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ average_pooling2d_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ max_pooling2d_9[\u001b[38;5;34m…\u001b[0m │\n│ (\u001b[38;5;33mAveragePooling2D\u001b[0m)  │ \u001b[38;5;34m192\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_193 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m,    │     \u001b[38;5;34m12,288\u001b[0m │ max_pooling2d_9[\u001b[38;5;34m…\u001b[0m │\n│                     │ \u001b[38;5;34m64\u001b[0m)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_195 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m,    │     \u001b[38;5;34m76,800\u001b[0m │ activation_194[\u001b[38;5;34m0\u001b[0m… │\n│                     │ \u001b[38;5;34m64\u001b[0m)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_198 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m,    │     \u001b[38;5;34m82,944\u001b[0m │ activation_197[\u001b[38;5;34m0\u001b[0m… │\n│                     │ \u001b[38;5;34m96\u001b[0m)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_199 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m,    │      \u001b[38;5;34m6,144\u001b[0m │ average_pooling2… │\n│                     │ \u001b[38;5;34m32\u001b[0m)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m,    │        \u001b[38;5;34m192\u001b[0m │ conv2d_193[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m64\u001b[0m)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m,    │        \u001b[38;5;34m192\u001b[0m │ conv2d_195[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m64\u001b[0m)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m,    │        \u001b[38;5;34m288\u001b[0m │ conv2d_198[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m96\u001b[0m)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m,    │         \u001b[38;5;34m96\u001b[0m │ conv2d_199[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m32\u001b[0m)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_193      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n│ (\u001b[38;5;33mActivation\u001b[0m)        │ \u001b[38;5;34m64\u001b[0m)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_195      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n│ (\u001b[38;5;33mActivation\u001b[0m)        │ \u001b[38;5;34m64\u001b[0m)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_198      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n│ (\u001b[38;5;33mActivation\u001b[0m)        │ \u001b[38;5;34m96\u001b[0m)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_199      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n│ (\u001b[38;5;33mActivation\u001b[0m)        │ \u001b[38;5;34m32\u001b[0m)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ mixed0              │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ activation_193[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mConcatenate\u001b[0m)       │ \u001b[38;5;34m256\u001b[0m)              │            │ activation_195[\u001b[38;5;34m0\u001b[0m… │\n│                     │                   │            │ activation_198[\u001b[38;5;34m0\u001b[0m… │\n│                     │                   │            │ activation_199[\u001b[38;5;34m0\u001b[0m… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_203 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m,    │     \u001b[38;5;34m16,384\u001b[0m │ mixed0[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]      │\n│                     │ \u001b[38;5;34m64\u001b[0m)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m,    │        \u001b[38;5;34m192\u001b[0m │ conv2d_203[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m64\u001b[0m)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_203      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n│ (\u001b[38;5;33mActivation\u001b[0m)        │ \u001b[38;5;34m64\u001b[0m)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_201 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m,    │     \u001b[38;5;34m12,288\u001b[0m │ mixed0[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]      │\n│                     │ \u001b[38;5;34m48\u001b[0m)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_204 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m,    │     \u001b[38;5;34m55,296\u001b[0m │ activation_203[\u001b[38;5;34m0\u001b[0m… │\n│                     │ \u001b[38;5;34m96\u001b[0m)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m,    │        \u001b[38;5;34m144\u001b[0m │ conv2d_201[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m48\u001b[0m)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m,    │        \u001b[38;5;34m288\u001b[0m │ conv2d_204[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m96\u001b[0m)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_201      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n│ (\u001b[38;5;33mActivation\u001b[0m)        │ \u001b[38;5;34m48\u001b[0m)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_204      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n│ (\u001b[38;5;33mActivation\u001b[0m)        │ \u001b[38;5;34m96\u001b[0m)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ average_pooling2d_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ mixed0[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]      │\n│ (\u001b[38;5;33mAveragePooling2D\u001b[0m)  │ \u001b[38;5;34m256\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_200 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m,    │     \u001b[38;5;34m16,384\u001b[0m │ mixed0[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]      │\n│                     │ \u001b[38;5;34m64\u001b[0m)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_202 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m,    │     \u001b[38;5;34m76,800\u001b[0m │ activation_201[\u001b[38;5;34m0\u001b[0m… │\n│                     │ \u001b[38;5;34m64\u001b[0m)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_205 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m,    │     \u001b[38;5;34m82,944\u001b[0m │ activation_204[\u001b[38;5;34m0\u001b[0m… │\n│                     │ \u001b[38;5;34m96\u001b[0m)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_206 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m,    │     \u001b[38;5;34m16,384\u001b[0m │ average_pooling2… │\n│                     │ \u001b[38;5;34m64\u001b[0m)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m,    │        \u001b[38;5;34m192\u001b[0m │ conv2d_200[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m64\u001b[0m)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m,    │        \u001b[38;5;34m192\u001b[0m │ conv2d_202[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m64\u001b[0m)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m,    │        \u001b[38;5;34m288\u001b[0m │ conv2d_205[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m96\u001b[0m)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m,    │        \u001b[38;5;34m192\u001b[0m │ conv2d_206[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m64\u001b[0m)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_200      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n│ (\u001b[38;5;33mActivation\u001b[0m)        │ \u001b[38;5;34m64\u001b[0m)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_202      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n│ (\u001b[38;5;33mActivation\u001b[0m)        │ \u001b[38;5;34m64\u001b[0m)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_205      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n│ (\u001b[38;5;33mActivation\u001b[0m)        │ \u001b[38;5;34m96\u001b[0m)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_206      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n│ (\u001b[38;5;33mActivation\u001b[0m)        │ \u001b[38;5;34m64\u001b[0m)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ mixed1              │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ activation_200[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mConcatenate\u001b[0m)       │ \u001b[38;5;34m288\u001b[0m)              │            │ activation_202[\u001b[38;5;34m0\u001b[0m… │\n│                     │                   │            │ activation_205[\u001b[38;5;34m0\u001b[0m… │\n│                     │                   │            │ activation_206[\u001b[38;5;34m0\u001b[0m… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_210 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m,    │     \u001b[38;5;34m18,432\u001b[0m │ mixed1[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]      │\n│                     │ \u001b[38;5;34m64\u001b[0m)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m,    │        \u001b[38;5;34m192\u001b[0m │ conv2d_210[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m64\u001b[0m)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_210      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n│ (\u001b[38;5;33mActivation\u001b[0m)        │ \u001b[38;5;34m64\u001b[0m)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_208 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m,    │     \u001b[38;5;34m13,824\u001b[0m │ mixed1[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]      │\n│                     │ \u001b[38;5;34m48\u001b[0m)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_211 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m,    │     \u001b[38;5;34m55,296\u001b[0m │ activation_210[\u001b[38;5;34m0\u001b[0m… │\n│                     │ \u001b[38;5;34m96\u001b[0m)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m,    │        \u001b[38;5;34m144\u001b[0m │ conv2d_208[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m48\u001b[0m)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m,    │        \u001b[38;5;34m288\u001b[0m │ conv2d_211[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m96\u001b[0m)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_208      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n│ (\u001b[38;5;33mActivation\u001b[0m)        │ \u001b[38;5;34m48\u001b[0m)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_211      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n│ (\u001b[38;5;33mActivation\u001b[0m)        │ \u001b[38;5;34m96\u001b[0m)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ average_pooling2d_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ mixed1[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]      │\n│ (\u001b[38;5;33mAveragePooling2D\u001b[0m)  │ \u001b[38;5;34m288\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_207 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m,    │     \u001b[38;5;34m18,432\u001b[0m │ mixed1[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]      │\n│                     │ \u001b[38;5;34m64\u001b[0m)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_209 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m,    │     \u001b[38;5;34m76,800\u001b[0m │ activation_208[\u001b[38;5;34m0\u001b[0m… │\n│                     │ \u001b[38;5;34m64\u001b[0m)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_212 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m,    │     \u001b[38;5;34m82,944\u001b[0m │ activation_211[\u001b[38;5;34m0\u001b[0m… │\n│                     │ \u001b[38;5;34m96\u001b[0m)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_213 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m,    │     \u001b[38;5;34m18,432\u001b[0m │ average_pooling2… │\n│                     │ \u001b[38;5;34m64\u001b[0m)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m,    │        \u001b[38;5;34m192\u001b[0m │ conv2d_207[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m64\u001b[0m)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m,    │        \u001b[38;5;34m192\u001b[0m │ conv2d_209[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m64\u001b[0m)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m,    │        \u001b[38;5;34m288\u001b[0m │ conv2d_212[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m96\u001b[0m)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m,    │        \u001b[38;5;34m192\u001b[0m │ conv2d_213[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m64\u001b[0m)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_207      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n│ (\u001b[38;5;33mActivation\u001b[0m)        │ \u001b[38;5;34m64\u001b[0m)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_209      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n│ (\u001b[38;5;33mActivation\u001b[0m)        │ \u001b[38;5;34m64\u001b[0m)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_212      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n│ (\u001b[38;5;33mActivation\u001b[0m)        │ \u001b[38;5;34m96\u001b[0m)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_213      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n│ (\u001b[38;5;33mActivation\u001b[0m)        │ \u001b[38;5;34m64\u001b[0m)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ mixed2              │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ activation_207[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mConcatenate\u001b[0m)       │ \u001b[38;5;34m288\u001b[0m)              │            │ activation_209[\u001b[38;5;34m0\u001b[0m… │\n│                     │                   │            │ activation_212[\u001b[38;5;34m0\u001b[0m… │\n│                     │                   │            │ activation_213[\u001b[38;5;34m0\u001b[0m… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_215 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m,    │     \u001b[38;5;34m18,432\u001b[0m │ mixed2[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]      │\n│                     │ \u001b[38;5;34m64\u001b[0m)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m,    │        \u001b[38;5;34m192\u001b[0m │ conv2d_215[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m64\u001b[0m)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_215      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n│ (\u001b[38;5;33mActivation\u001b[0m)        │ \u001b[38;5;34m64\u001b[0m)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_216 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m,    │     \u001b[38;5;34m55,296\u001b[0m │ activation_215[\u001b[38;5;34m0\u001b[0m… │\n│                     │ \u001b[38;5;34m96\u001b[0m)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m,    │        \u001b[38;5;34m288\u001b[0m │ conv2d_216[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m96\u001b[0m)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_216      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n│ (\u001b[38;5;33mActivation\u001b[0m)        │ \u001b[38;5;34m96\u001b[0m)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_214 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │    \u001b[38;5;34m995,328\u001b[0m │ mixed2[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]      │\n│                     │ \u001b[38;5;34m384\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_217 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │     \u001b[38;5;34m82,944\u001b[0m │ activation_216[\u001b[38;5;34m0\u001b[0m… │\n│                     │ \u001b[38;5;34m96\u001b[0m)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │      \u001b[38;5;34m1,152\u001b[0m │ conv2d_214[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m384\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │        \u001b[38;5;34m288\u001b[0m │ conv2d_217[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m96\u001b[0m)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_214      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n│ (\u001b[38;5;33mActivation\u001b[0m)        │ \u001b[38;5;34m384\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_217      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n│ (\u001b[38;5;33mActivation\u001b[0m)        │ \u001b[38;5;34m96\u001b[0m)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ max_pooling2d_10    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ mixed2[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]      │\n│ (\u001b[38;5;33mMaxPooling2D\u001b[0m)      │ \u001b[38;5;34m288\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ mixed3              │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ activation_214[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mConcatenate\u001b[0m)       │ \u001b[38;5;34m768\u001b[0m)              │            │ activation_217[\u001b[38;5;34m0\u001b[0m… │\n│                     │                   │            │ max_pooling2d_10… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_222 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │     \u001b[38;5;34m98,304\u001b[0m │ mixed3[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]      │\n│                     │ \u001b[38;5;34m128\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │        \u001b[38;5;34m384\u001b[0m │ conv2d_222[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_222      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n│ (\u001b[38;5;33mActivation\u001b[0m)        │ \u001b[38;5;34m128\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_223 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │    \u001b[38;5;34m114,688\u001b[0m │ activation_222[\u001b[38;5;34m0\u001b[0m… │\n│                     │ \u001b[38;5;34m128\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │        \u001b[38;5;34m384\u001b[0m │ conv2d_223[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_223      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n│ (\u001b[38;5;33mActivation\u001b[0m)        │ \u001b[38;5;34m128\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_219 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │     \u001b[38;5;34m98,304\u001b[0m │ mixed3[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]      │\n│                     │ \u001b[38;5;34m128\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_224 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │    \u001b[38;5;34m114,688\u001b[0m │ activation_223[\u001b[38;5;34m0\u001b[0m… │\n│                     │ \u001b[38;5;34m128\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │        \u001b[38;5;34m384\u001b[0m │ conv2d_219[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │        \u001b[38;5;34m384\u001b[0m │ conv2d_224[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_219      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n│ (\u001b[38;5;33mActivation\u001b[0m)        │ \u001b[38;5;34m128\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_224      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n│ (\u001b[38;5;33mActivation\u001b[0m)        │ \u001b[38;5;34m128\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_220 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │    \u001b[38;5;34m114,688\u001b[0m │ activation_219[\u001b[38;5;34m0\u001b[0m… │\n│                     │ \u001b[38;5;34m128\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_225 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │    \u001b[38;5;34m114,688\u001b[0m │ activation_224[\u001b[38;5;34m0\u001b[0m… │\n│                     │ \u001b[38;5;34m128\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │        \u001b[38;5;34m384\u001b[0m │ conv2d_220[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │        \u001b[38;5;34m384\u001b[0m │ conv2d_225[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_220      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n│ (\u001b[38;5;33mActivation\u001b[0m)        │ \u001b[38;5;34m128\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_225      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n│ (\u001b[38;5;33mActivation\u001b[0m)        │ \u001b[38;5;34m128\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ average_pooling2d_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ mixed3[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]      │\n│ (\u001b[38;5;33mAveragePooling2D\u001b[0m)  │ \u001b[38;5;34m768\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_218 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │    \u001b[38;5;34m147,456\u001b[0m │ mixed3[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]      │\n│                     │ \u001b[38;5;34m192\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_221 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │    \u001b[38;5;34m172,032\u001b[0m │ activation_220[\u001b[38;5;34m0\u001b[0m… │\n│                     │ \u001b[38;5;34m192\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_226 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │    \u001b[38;5;34m172,032\u001b[0m │ activation_225[\u001b[38;5;34m0\u001b[0m… │\n│                     │ \u001b[38;5;34m192\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_227 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │    \u001b[38;5;34m147,456\u001b[0m │ average_pooling2… │\n│                     │ \u001b[38;5;34m192\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │        \u001b[38;5;34m576\u001b[0m │ conv2d_218[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m192\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │        \u001b[38;5;34m576\u001b[0m │ conv2d_221[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m192\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │        \u001b[38;5;34m576\u001b[0m │ conv2d_226[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m192\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │        \u001b[38;5;34m576\u001b[0m │ conv2d_227[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m192\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_218      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n│ (\u001b[38;5;33mActivation\u001b[0m)        │ \u001b[38;5;34m192\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_221      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n│ (\u001b[38;5;33mActivation\u001b[0m)        │ \u001b[38;5;34m192\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_226      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n│ (\u001b[38;5;33mActivation\u001b[0m)        │ \u001b[38;5;34m192\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_227      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n│ (\u001b[38;5;33mActivation\u001b[0m)        │ \u001b[38;5;34m192\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ mixed4              │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ activation_218[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mConcatenate\u001b[0m)       │ \u001b[38;5;34m768\u001b[0m)              │            │ activation_221[\u001b[38;5;34m0\u001b[0m… │\n│                     │                   │            │ activation_226[\u001b[38;5;34m0\u001b[0m… │\n│                     │                   │            │ activation_227[\u001b[38;5;34m0\u001b[0m… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_232 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │    \u001b[38;5;34m122,880\u001b[0m │ mixed4[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]      │\n│                     │ \u001b[38;5;34m160\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │        \u001b[38;5;34m480\u001b[0m │ conv2d_232[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m160\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_232      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n│ (\u001b[38;5;33mActivation\u001b[0m)        │ \u001b[38;5;34m160\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_233 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │    \u001b[38;5;34m179,200\u001b[0m │ activation_232[\u001b[38;5;34m0\u001b[0m… │\n│                     │ \u001b[38;5;34m160\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │        \u001b[38;5;34m480\u001b[0m │ conv2d_233[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m160\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_233      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n│ (\u001b[38;5;33mActivation\u001b[0m)        │ \u001b[38;5;34m160\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_229 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │    \u001b[38;5;34m122,880\u001b[0m │ mixed4[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]      │\n│                     │ \u001b[38;5;34m160\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_234 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │    \u001b[38;5;34m179,200\u001b[0m │ activation_233[\u001b[38;5;34m0\u001b[0m… │\n│                     │ \u001b[38;5;34m160\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │        \u001b[38;5;34m480\u001b[0m │ conv2d_229[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m160\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │        \u001b[38;5;34m480\u001b[0m │ conv2d_234[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m160\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_229      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n│ (\u001b[38;5;33mActivation\u001b[0m)        │ \u001b[38;5;34m160\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_234      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n│ (\u001b[38;5;33mActivation\u001b[0m)        │ \u001b[38;5;34m160\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_230 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │    \u001b[38;5;34m179,200\u001b[0m │ activation_229[\u001b[38;5;34m0\u001b[0m… │\n│                     │ \u001b[38;5;34m160\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_235 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │    \u001b[38;5;34m179,200\u001b[0m │ activation_234[\u001b[38;5;34m0\u001b[0m… │\n│                     │ \u001b[38;5;34m160\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │        \u001b[38;5;34m480\u001b[0m │ conv2d_230[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m160\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │        \u001b[38;5;34m480\u001b[0m │ conv2d_235[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m160\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_230      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n│ (\u001b[38;5;33mActivation\u001b[0m)        │ \u001b[38;5;34m160\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_235      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n│ (\u001b[38;5;33mActivation\u001b[0m)        │ \u001b[38;5;34m160\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ average_pooling2d_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ mixed4[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]      │\n│ (\u001b[38;5;33mAveragePooling2D\u001b[0m)  │ \u001b[38;5;34m768\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_228 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │    \u001b[38;5;34m147,456\u001b[0m │ mixed4[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]      │\n│                     │ \u001b[38;5;34m192\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_231 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │    \u001b[38;5;34m215,040\u001b[0m │ activation_230[\u001b[38;5;34m0\u001b[0m… │\n│                     │ \u001b[38;5;34m192\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_236 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │    \u001b[38;5;34m215,040\u001b[0m │ activation_235[\u001b[38;5;34m0\u001b[0m… │\n│                     │ \u001b[38;5;34m192\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_237 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │    \u001b[38;5;34m147,456\u001b[0m │ average_pooling2… │\n│                     │ \u001b[38;5;34m192\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │        \u001b[38;5;34m576\u001b[0m │ conv2d_228[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m192\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │        \u001b[38;5;34m576\u001b[0m │ conv2d_231[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m192\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │        \u001b[38;5;34m576\u001b[0m │ conv2d_236[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m192\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │        \u001b[38;5;34m576\u001b[0m │ conv2d_237[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m192\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_228      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n│ (\u001b[38;5;33mActivation\u001b[0m)        │ \u001b[38;5;34m192\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_231      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n│ (\u001b[38;5;33mActivation\u001b[0m)        │ \u001b[38;5;34m192\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_236      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n│ (\u001b[38;5;33mActivation\u001b[0m)        │ \u001b[38;5;34m192\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_237      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n│ (\u001b[38;5;33mActivation\u001b[0m)        │ \u001b[38;5;34m192\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ mixed5              │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ activation_228[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mConcatenate\u001b[0m)       │ \u001b[38;5;34m768\u001b[0m)              │            │ activation_231[\u001b[38;5;34m0\u001b[0m… │\n│                     │                   │            │ activation_236[\u001b[38;5;34m0\u001b[0m… │\n│                     │                   │            │ activation_237[\u001b[38;5;34m0\u001b[0m… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_242 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │    \u001b[38;5;34m122,880\u001b[0m │ mixed5[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]      │\n│                     │ \u001b[38;5;34m160\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │        \u001b[38;5;34m480\u001b[0m │ conv2d_242[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m160\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_242      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n│ (\u001b[38;5;33mActivation\u001b[0m)        │ \u001b[38;5;34m160\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_243 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │    \u001b[38;5;34m179,200\u001b[0m │ activation_242[\u001b[38;5;34m0\u001b[0m… │\n│                     │ \u001b[38;5;34m160\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │        \u001b[38;5;34m480\u001b[0m │ conv2d_243[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m160\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_243      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n│ (\u001b[38;5;33mActivation\u001b[0m)        │ \u001b[38;5;34m160\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_239 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │    \u001b[38;5;34m122,880\u001b[0m │ mixed5[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]      │\n│                     │ \u001b[38;5;34m160\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_244 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │    \u001b[38;5;34m179,200\u001b[0m │ activation_243[\u001b[38;5;34m0\u001b[0m… │\n│                     │ \u001b[38;5;34m160\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │        \u001b[38;5;34m480\u001b[0m │ conv2d_239[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m160\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │        \u001b[38;5;34m480\u001b[0m │ conv2d_244[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m160\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_239      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n│ (\u001b[38;5;33mActivation\u001b[0m)        │ \u001b[38;5;34m160\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_244      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n│ (\u001b[38;5;33mActivation\u001b[0m)        │ \u001b[38;5;34m160\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_240 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │    \u001b[38;5;34m179,200\u001b[0m │ activation_239[\u001b[38;5;34m0\u001b[0m… │\n│                     │ \u001b[38;5;34m160\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_245 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │    \u001b[38;5;34m179,200\u001b[0m │ activation_244[\u001b[38;5;34m0\u001b[0m… │\n│                     │ \u001b[38;5;34m160\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │        \u001b[38;5;34m480\u001b[0m │ conv2d_240[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m160\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │        \u001b[38;5;34m480\u001b[0m │ conv2d_245[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m160\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_240      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n│ (\u001b[38;5;33mActivation\u001b[0m)        │ \u001b[38;5;34m160\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_245      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n│ (\u001b[38;5;33mActivation\u001b[0m)        │ \u001b[38;5;34m160\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ average_pooling2d_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ mixed5[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]      │\n│ (\u001b[38;5;33mAveragePooling2D\u001b[0m)  │ \u001b[38;5;34m768\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_238 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │    \u001b[38;5;34m147,456\u001b[0m │ mixed5[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]      │\n│                     │ \u001b[38;5;34m192\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_241 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │    \u001b[38;5;34m215,040\u001b[0m │ activation_240[\u001b[38;5;34m0\u001b[0m… │\n│                     │ \u001b[38;5;34m192\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_246 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │    \u001b[38;5;34m215,040\u001b[0m │ activation_245[\u001b[38;5;34m0\u001b[0m… │\n│                     │ \u001b[38;5;34m192\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_247 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │    \u001b[38;5;34m147,456\u001b[0m │ average_pooling2… │\n│                     │ \u001b[38;5;34m192\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │        \u001b[38;5;34m576\u001b[0m │ conv2d_238[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m192\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │        \u001b[38;5;34m576\u001b[0m │ conv2d_241[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m192\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │        \u001b[38;5;34m576\u001b[0m │ conv2d_246[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m192\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │        \u001b[38;5;34m576\u001b[0m │ conv2d_247[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m192\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_238      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n│ (\u001b[38;5;33mActivation\u001b[0m)        │ \u001b[38;5;34m192\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_241      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n│ (\u001b[38;5;33mActivation\u001b[0m)        │ \u001b[38;5;34m192\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_246      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n│ (\u001b[38;5;33mActivation\u001b[0m)        │ \u001b[38;5;34m192\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_247      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n│ (\u001b[38;5;33mActivation\u001b[0m)        │ \u001b[38;5;34m192\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ mixed6              │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ activation_238[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mConcatenate\u001b[0m)       │ \u001b[38;5;34m768\u001b[0m)              │            │ activation_241[\u001b[38;5;34m0\u001b[0m… │\n│                     │                   │            │ activation_246[\u001b[38;5;34m0\u001b[0m… │\n│                     │                   │            │ activation_247[\u001b[38;5;34m0\u001b[0m… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_252 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │    \u001b[38;5;34m147,456\u001b[0m │ mixed6[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]      │\n│                     │ \u001b[38;5;34m192\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │        \u001b[38;5;34m576\u001b[0m │ conv2d_252[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m192\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_252      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n│ (\u001b[38;5;33mActivation\u001b[0m)        │ \u001b[38;5;34m192\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_253 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │    \u001b[38;5;34m258,048\u001b[0m │ activation_252[\u001b[38;5;34m0\u001b[0m… │\n│                     │ \u001b[38;5;34m192\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │        \u001b[38;5;34m576\u001b[0m │ conv2d_253[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m192\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_253      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n│ (\u001b[38;5;33mActivation\u001b[0m)        │ \u001b[38;5;34m192\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_249 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │    \u001b[38;5;34m147,456\u001b[0m │ mixed6[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]      │\n│                     │ \u001b[38;5;34m192\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_254 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │    \u001b[38;5;34m258,048\u001b[0m │ activation_253[\u001b[38;5;34m0\u001b[0m… │\n│                     │ \u001b[38;5;34m192\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │        \u001b[38;5;34m576\u001b[0m │ conv2d_249[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m192\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │        \u001b[38;5;34m576\u001b[0m │ conv2d_254[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m192\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_249      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n│ (\u001b[38;5;33mActivation\u001b[0m)        │ \u001b[38;5;34m192\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_254      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n│ (\u001b[38;5;33mActivation\u001b[0m)        │ \u001b[38;5;34m192\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_250 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │    \u001b[38;5;34m258,048\u001b[0m │ activation_249[\u001b[38;5;34m0\u001b[0m… │\n│                     │ \u001b[38;5;34m192\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_255 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │    \u001b[38;5;34m258,048\u001b[0m │ activation_254[\u001b[38;5;34m0\u001b[0m… │\n│                     │ \u001b[38;5;34m192\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │        \u001b[38;5;34m576\u001b[0m │ conv2d_250[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m192\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │        \u001b[38;5;34m576\u001b[0m │ conv2d_255[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m192\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_250      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n│ (\u001b[38;5;33mActivation\u001b[0m)        │ \u001b[38;5;34m192\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_255      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n│ (\u001b[38;5;33mActivation\u001b[0m)        │ \u001b[38;5;34m192\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ average_pooling2d_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ mixed6[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]      │\n│ (\u001b[38;5;33mAveragePooling2D\u001b[0m)  │ \u001b[38;5;34m768\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_248 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │    \u001b[38;5;34m147,456\u001b[0m │ mixed6[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]      │\n│                     │ \u001b[38;5;34m192\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_251 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │    \u001b[38;5;34m258,048\u001b[0m │ activation_250[\u001b[38;5;34m0\u001b[0m… │\n│                     │ \u001b[38;5;34m192\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_256 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │    \u001b[38;5;34m258,048\u001b[0m │ activation_255[\u001b[38;5;34m0\u001b[0m… │\n│                     │ \u001b[38;5;34m192\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_257 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │    \u001b[38;5;34m147,456\u001b[0m │ average_pooling2… │\n│                     │ \u001b[38;5;34m192\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │        \u001b[38;5;34m576\u001b[0m │ conv2d_248[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m192\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │        \u001b[38;5;34m576\u001b[0m │ conv2d_251[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m192\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │        \u001b[38;5;34m576\u001b[0m │ conv2d_256[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m192\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │        \u001b[38;5;34m576\u001b[0m │ conv2d_257[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m192\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_248      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n│ (\u001b[38;5;33mActivation\u001b[0m)        │ \u001b[38;5;34m192\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_251      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n│ (\u001b[38;5;33mActivation\u001b[0m)        │ \u001b[38;5;34m192\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_256      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n│ (\u001b[38;5;33mActivation\u001b[0m)        │ \u001b[38;5;34m192\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_257      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n│ (\u001b[38;5;33mActivation\u001b[0m)        │ \u001b[38;5;34m192\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ mixed7              │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ activation_248[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mConcatenate\u001b[0m)       │ \u001b[38;5;34m768\u001b[0m)              │            │ activation_251[\u001b[38;5;34m0\u001b[0m… │\n│                     │                   │            │ activation_256[\u001b[38;5;34m0\u001b[0m… │\n│                     │                   │            │ activation_257[\u001b[38;5;34m0\u001b[0m… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_260 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │    \u001b[38;5;34m147,456\u001b[0m │ mixed7[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]      │\n│                     │ \u001b[38;5;34m192\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │        \u001b[38;5;34m576\u001b[0m │ conv2d_260[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m192\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_260      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n│ (\u001b[38;5;33mActivation\u001b[0m)        │ \u001b[38;5;34m192\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_261 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │    \u001b[38;5;34m258,048\u001b[0m │ activation_260[\u001b[38;5;34m0\u001b[0m… │\n│                     │ \u001b[38;5;34m192\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │        \u001b[38;5;34m576\u001b[0m │ conv2d_261[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m192\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_261      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n│ (\u001b[38;5;33mActivation\u001b[0m)        │ \u001b[38;5;34m192\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_258 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │    \u001b[38;5;34m147,456\u001b[0m │ mixed7[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]      │\n│                     │ \u001b[38;5;34m192\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_262 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │    \u001b[38;5;34m258,048\u001b[0m │ activation_261[\u001b[38;5;34m0\u001b[0m… │\n│                     │ \u001b[38;5;34m192\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │        \u001b[38;5;34m576\u001b[0m │ conv2d_258[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m192\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │        \u001b[38;5;34m576\u001b[0m │ conv2d_262[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m192\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_258      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n│ (\u001b[38;5;33mActivation\u001b[0m)        │ \u001b[38;5;34m192\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_262      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n│ (\u001b[38;5;33mActivation\u001b[0m)        │ \u001b[38;5;34m192\u001b[0m)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_259 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m320\u001b[0m) │    \u001b[38;5;34m552,960\u001b[0m │ activation_258[\u001b[38;5;34m0\u001b[0m… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_263 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m192\u001b[0m) │    \u001b[38;5;34m331,776\u001b[0m │ activation_262[\u001b[38;5;34m0\u001b[0m… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m320\u001b[0m) │        \u001b[38;5;34m960\u001b[0m │ conv2d_259[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m192\u001b[0m) │        \u001b[38;5;34m576\u001b[0m │ conv2d_263[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_259      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m320\u001b[0m) │          \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n│ (\u001b[38;5;33mActivation\u001b[0m)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_263      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m192\u001b[0m) │          \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n│ (\u001b[38;5;33mActivation\u001b[0m)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ max_pooling2d_11    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m768\u001b[0m) │          \u001b[38;5;34m0\u001b[0m │ mixed7[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]      │\n│ (\u001b[38;5;33mMaxPooling2D\u001b[0m)      │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ mixed8              │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m,      │          \u001b[38;5;34m0\u001b[0m │ activation_259[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mConcatenate\u001b[0m)       │ \u001b[38;5;34m1280\u001b[0m)             │            │ activation_263[\u001b[38;5;34m0\u001b[0m… │\n│                     │                   │            │ max_pooling2d_11… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_268 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m448\u001b[0m) │    \u001b[38;5;34m573,440\u001b[0m │ mixed8[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]      │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m448\u001b[0m) │      \u001b[38;5;34m1,344\u001b[0m │ conv2d_268[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_268      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m448\u001b[0m) │          \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n│ (\u001b[38;5;33mActivation\u001b[0m)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_265 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) │    \u001b[38;5;34m491,520\u001b[0m │ mixed8[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]      │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_269 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) │  \u001b[38;5;34m1,548,288\u001b[0m │ activation_268[\u001b[38;5;34m0\u001b[0m… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) │      \u001b[38;5;34m1,152\u001b[0m │ conv2d_265[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) │      \u001b[38;5;34m1,152\u001b[0m │ conv2d_269[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_265      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) │          \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n│ (\u001b[38;5;33mActivation\u001b[0m)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_269      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) │          \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n│ (\u001b[38;5;33mActivation\u001b[0m)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_266 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) │    \u001b[38;5;34m442,368\u001b[0m │ activation_265[\u001b[38;5;34m0\u001b[0m… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_267 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) │    \u001b[38;5;34m442,368\u001b[0m │ activation_265[\u001b[38;5;34m0\u001b[0m… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_270 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) │    \u001b[38;5;34m442,368\u001b[0m │ activation_269[\u001b[38;5;34m0\u001b[0m… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_271 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) │    \u001b[38;5;34m442,368\u001b[0m │ activation_269[\u001b[38;5;34m0\u001b[0m… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ average_pooling2d_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m,      │          \u001b[38;5;34m0\u001b[0m │ mixed8[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]      │\n│ (\u001b[38;5;33mAveragePooling2D\u001b[0m)  │ \u001b[38;5;34m1280\u001b[0m)             │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_264 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m320\u001b[0m) │    \u001b[38;5;34m409,600\u001b[0m │ mixed8[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]      │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) │      \u001b[38;5;34m1,152\u001b[0m │ conv2d_266[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) │      \u001b[38;5;34m1,152\u001b[0m │ conv2d_267[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) │      \u001b[38;5;34m1,152\u001b[0m │ conv2d_270[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) │      \u001b[38;5;34m1,152\u001b[0m │ conv2d_271[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_272 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m192\u001b[0m) │    \u001b[38;5;34m245,760\u001b[0m │ average_pooling2… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m320\u001b[0m) │        \u001b[38;5;34m960\u001b[0m │ conv2d_264[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_266      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) │          \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n│ (\u001b[38;5;33mActivation\u001b[0m)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_267      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) │          \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n│ (\u001b[38;5;33mActivation\u001b[0m)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_270      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) │          \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n│ (\u001b[38;5;33mActivation\u001b[0m)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_271      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) │          \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n│ (\u001b[38;5;33mActivation\u001b[0m)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m192\u001b[0m) │        \u001b[38;5;34m576\u001b[0m │ conv2d_272[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_264      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m320\u001b[0m) │          \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n│ (\u001b[38;5;33mActivation\u001b[0m)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ mixed9_0            │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m768\u001b[0m) │          \u001b[38;5;34m0\u001b[0m │ activation_266[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mConcatenate\u001b[0m)       │                   │            │ activation_267[\u001b[38;5;34m0\u001b[0m… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ concatenate_4       │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m768\u001b[0m) │          \u001b[38;5;34m0\u001b[0m │ activation_270[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mConcatenate\u001b[0m)       │                   │            │ activation_271[\u001b[38;5;34m0\u001b[0m… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_272      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m192\u001b[0m) │          \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n│ (\u001b[38;5;33mActivation\u001b[0m)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ mixed9              │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m,      │          \u001b[38;5;34m0\u001b[0m │ activation_264[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mConcatenate\u001b[0m)       │ \u001b[38;5;34m2048\u001b[0m)             │            │ mixed9_0[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m],   │\n│                     │                   │            │ concatenate_4[\u001b[38;5;34m0\u001b[0m]… │\n│                     │                   │            │ activation_272[\u001b[38;5;34m0\u001b[0m… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_277 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m448\u001b[0m) │    \u001b[38;5;34m917,504\u001b[0m │ mixed9[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]      │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m448\u001b[0m) │      \u001b[38;5;34m1,344\u001b[0m │ conv2d_277[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_277      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m448\u001b[0m) │          \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n│ (\u001b[38;5;33mActivation\u001b[0m)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_274 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) │    \u001b[38;5;34m786,432\u001b[0m │ mixed9[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]      │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_278 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) │  \u001b[38;5;34m1,548,288\u001b[0m │ activation_277[\u001b[38;5;34m0\u001b[0m… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) │      \u001b[38;5;34m1,152\u001b[0m │ conv2d_274[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) │      \u001b[38;5;34m1,152\u001b[0m │ conv2d_278[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_274      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) │          \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n│ (\u001b[38;5;33mActivation\u001b[0m)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_278      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) │          \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n│ (\u001b[38;5;33mActivation\u001b[0m)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_275 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) │    \u001b[38;5;34m442,368\u001b[0m │ activation_274[\u001b[38;5;34m0\u001b[0m… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_276 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) │    \u001b[38;5;34m442,368\u001b[0m │ activation_274[\u001b[38;5;34m0\u001b[0m… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_279 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) │    \u001b[38;5;34m442,368\u001b[0m │ activation_278[\u001b[38;5;34m0\u001b[0m… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_280 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) │    \u001b[38;5;34m442,368\u001b[0m │ activation_278[\u001b[38;5;34m0\u001b[0m… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ average_pooling2d_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m,      │          \u001b[38;5;34m0\u001b[0m │ mixed9[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]      │\n│ (\u001b[38;5;33mAveragePooling2D\u001b[0m)  │ \u001b[38;5;34m2048\u001b[0m)             │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_273 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m320\u001b[0m) │    \u001b[38;5;34m655,360\u001b[0m │ mixed9[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]      │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) │      \u001b[38;5;34m1,152\u001b[0m │ conv2d_275[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) │      \u001b[38;5;34m1,152\u001b[0m │ conv2d_276[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) │      \u001b[38;5;34m1,152\u001b[0m │ conv2d_279[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) │      \u001b[38;5;34m1,152\u001b[0m │ conv2d_280[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_281 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m192\u001b[0m) │    \u001b[38;5;34m393,216\u001b[0m │ average_pooling2… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m320\u001b[0m) │        \u001b[38;5;34m960\u001b[0m │ conv2d_273[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_275      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) │          \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n│ (\u001b[38;5;33mActivation\u001b[0m)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_276      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) │          \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n│ (\u001b[38;5;33mActivation\u001b[0m)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_279      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) │          \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n│ (\u001b[38;5;33mActivation\u001b[0m)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_280      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) │          \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n│ (\u001b[38;5;33mActivation\u001b[0m)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m192\u001b[0m) │        \u001b[38;5;34m576\u001b[0m │ conv2d_281[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_273      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m320\u001b[0m) │          \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n│ (\u001b[38;5;33mActivation\u001b[0m)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ mixed9_1            │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m768\u001b[0m) │          \u001b[38;5;34m0\u001b[0m │ activation_275[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mConcatenate\u001b[0m)       │                   │            │ activation_276[\u001b[38;5;34m0\u001b[0m… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ concatenate_5       │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m768\u001b[0m) │          \u001b[38;5;34m0\u001b[0m │ activation_279[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mConcatenate\u001b[0m)       │                   │            │ activation_280[\u001b[38;5;34m0\u001b[0m… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_281      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m192\u001b[0m) │          \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n│ (\u001b[38;5;33mActivation\u001b[0m)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ mixed10             │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m,      │          \u001b[38;5;34m0\u001b[0m │ activation_273[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mConcatenate\u001b[0m)       │ \u001b[38;5;34m2048\u001b[0m)             │            │ mixed9_1[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m],   │\n│                     │                   │            │ concatenate_5[\u001b[38;5;34m0\u001b[0m]… │\n│                     │                   │            │ activation_281[\u001b[38;5;34m0\u001b[0m… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ average_pooling2d_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2\u001b[0m, \u001b[38;5;34m2\u001b[0m,      │          \u001b[38;5;34m0\u001b[0m │ mixed10[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]     │\n│ (\u001b[38;5;33mAveragePooling2D\u001b[0m)  │ \u001b[38;5;34m2048\u001b[0m)             │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ dropout_2 (\u001b[38;5;33mDropout\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2\u001b[0m, \u001b[38;5;34m2\u001b[0m,      │          \u001b[38;5;34m0\u001b[0m │ average_pooling2… │\n│                     │ \u001b[38;5;34m2048\u001b[0m)             │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ flatten_2 (\u001b[38;5;33mFlatten\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m8192\u001b[0m)      │          \u001b[38;5;34m0\u001b[0m │ dropout_2[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ dense_2 (\u001b[38;5;33mDense\u001b[0m)     │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m101\u001b[0m)       │    \u001b[38;5;34m827,493\u001b[0m │ flatten_2[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]   │\n└─────────────────────┴───────────────────┴────────────┴───────────────────┘\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">┏━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┓\n┃<span style=\"font-weight: bold\"> Layer (type)        </span>┃<span style=\"font-weight: bold\"> Output Shape      </span>┃<span style=\"font-weight: bold\">    Param # </span>┃<span style=\"font-weight: bold\"> Connected to      </span>┃\n┡━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━┩\n│ input_layer_2       │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">224</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">224</span>,  │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ -                 │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">InputLayer</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">3</span>)                │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_188 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">111</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">111</span>,  │        <span style=\"color: #00af00; text-decoration-color: #00af00\">864</span> │ input_layer_2[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]… │\n│                     │ <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">111</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">111</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">96</span> │ conv2d_188[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_188      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">111</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">111</span>,  │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ batch_normalizat… │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_189 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">109</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">109</span>,  │      <span style=\"color: #00af00; text-decoration-color: #00af00\">9,216</span> │ activation_188[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n│                     │ <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">109</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">109</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">96</span> │ conv2d_189[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_189      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">109</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">109</span>,  │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ batch_normalizat… │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_190 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">109</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">109</span>,  │     <span style=\"color: #00af00; text-decoration-color: #00af00\">18,432</span> │ activation_189[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n│                     │ <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">109</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">109</span>,  │        <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span> │ conv2d_190[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_190      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">109</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">109</span>,  │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ batch_normalizat… │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ max_pooling2d_8     │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">54</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">54</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ activation_190[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MaxPooling2D</span>)      │ <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_191 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">54</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">54</span>,    │      <span style=\"color: #00af00; text-decoration-color: #00af00\">5,120</span> │ max_pooling2d_8[<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │\n│                     │ <span style=\"color: #00af00; text-decoration-color: #00af00\">80</span>)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">54</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">54</span>,    │        <span style=\"color: #00af00; text-decoration-color: #00af00\">240</span> │ conv2d_191[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">80</span>)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_191      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">54</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">54</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ batch_normalizat… │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">80</span>)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_192 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">52</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">52</span>,    │    <span style=\"color: #00af00; text-decoration-color: #00af00\">138,240</span> │ activation_191[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n│                     │ <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">52</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">52</span>,    │        <span style=\"color: #00af00; text-decoration-color: #00af00\">576</span> │ conv2d_192[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_192      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">52</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">52</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ batch_normalizat… │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ max_pooling2d_9     │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ activation_192[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MaxPooling2D</span>)      │ <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_196 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>,    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">12,288</span> │ max_pooling2d_9[<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │\n│                     │ <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>,    │        <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span> │ conv2d_196[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_196      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ batch_normalizat… │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_194 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>,    │      <span style=\"color: #00af00; text-decoration-color: #00af00\">9,216</span> │ max_pooling2d_9[<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │\n│                     │ <span style=\"color: #00af00; text-decoration-color: #00af00\">48</span>)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_197 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>,    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">55,296</span> │ activation_196[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n│                     │ <span style=\"color: #00af00; text-decoration-color: #00af00\">96</span>)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>,    │        <span style=\"color: #00af00; text-decoration-color: #00af00\">144</span> │ conv2d_194[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">48</span>)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>,    │        <span style=\"color: #00af00; text-decoration-color: #00af00\">288</span> │ conv2d_197[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">96</span>)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_194      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ batch_normalizat… │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">48</span>)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_197      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ batch_normalizat… │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">96</span>)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ average_pooling2d_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ max_pooling2d_9[<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">AveragePooling2D</span>)  │ <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_193 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>,    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">12,288</span> │ max_pooling2d_9[<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │\n│                     │ <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_195 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>,    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">76,800</span> │ activation_194[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n│                     │ <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_198 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>,    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">82,944</span> │ activation_197[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n│                     │ <span style=\"color: #00af00; text-decoration-color: #00af00\">96</span>)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_199 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>,    │      <span style=\"color: #00af00; text-decoration-color: #00af00\">6,144</span> │ average_pooling2… │\n│                     │ <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>,    │        <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span> │ conv2d_193[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>,    │        <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span> │ conv2d_195[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>,    │        <span style=\"color: #00af00; text-decoration-color: #00af00\">288</span> │ conv2d_198[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">96</span>)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">96</span> │ conv2d_199[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_193      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ batch_normalizat… │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_195      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ batch_normalizat… │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_198      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ batch_normalizat… │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">96</span>)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_199      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ batch_normalizat… │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ mixed0              │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ activation_193[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Concatenate</span>)       │ <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)              │            │ activation_195[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n│                     │                   │            │ activation_198[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n│                     │                   │            │ activation_199[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_203 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>,    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">16,384</span> │ mixed0[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]      │\n│                     │ <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>,    │        <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span> │ conv2d_203[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_203      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ batch_normalizat… │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_201 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>,    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">12,288</span> │ mixed0[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]      │\n│                     │ <span style=\"color: #00af00; text-decoration-color: #00af00\">48</span>)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_204 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>,    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">55,296</span> │ activation_203[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n│                     │ <span style=\"color: #00af00; text-decoration-color: #00af00\">96</span>)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>,    │        <span style=\"color: #00af00; text-decoration-color: #00af00\">144</span> │ conv2d_201[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">48</span>)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>,    │        <span style=\"color: #00af00; text-decoration-color: #00af00\">288</span> │ conv2d_204[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">96</span>)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_201      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ batch_normalizat… │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">48</span>)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_204      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ batch_normalizat… │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">96</span>)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ average_pooling2d_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ mixed0[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]      │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">AveragePooling2D</span>)  │ <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_200 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>,    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">16,384</span> │ mixed0[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]      │\n│                     │ <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_202 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>,    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">76,800</span> │ activation_201[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n│                     │ <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_205 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>,    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">82,944</span> │ activation_204[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n│                     │ <span style=\"color: #00af00; text-decoration-color: #00af00\">96</span>)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_206 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>,    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">16,384</span> │ average_pooling2… │\n│                     │ <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>,    │        <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span> │ conv2d_200[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>,    │        <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span> │ conv2d_202[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>,    │        <span style=\"color: #00af00; text-decoration-color: #00af00\">288</span> │ conv2d_205[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">96</span>)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>,    │        <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span> │ conv2d_206[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_200      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ batch_normalizat… │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_202      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ batch_normalizat… │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_205      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ batch_normalizat… │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">96</span>)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_206      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ batch_normalizat… │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ mixed1              │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ activation_200[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Concatenate</span>)       │ <span style=\"color: #00af00; text-decoration-color: #00af00\">288</span>)              │            │ activation_202[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n│                     │                   │            │ activation_205[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n│                     │                   │            │ activation_206[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_210 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>,    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">18,432</span> │ mixed1[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]      │\n│                     │ <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>,    │        <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span> │ conv2d_210[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_210      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ batch_normalizat… │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_208 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>,    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">13,824</span> │ mixed1[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]      │\n│                     │ <span style=\"color: #00af00; text-decoration-color: #00af00\">48</span>)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_211 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>,    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">55,296</span> │ activation_210[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n│                     │ <span style=\"color: #00af00; text-decoration-color: #00af00\">96</span>)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>,    │        <span style=\"color: #00af00; text-decoration-color: #00af00\">144</span> │ conv2d_208[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">48</span>)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>,    │        <span style=\"color: #00af00; text-decoration-color: #00af00\">288</span> │ conv2d_211[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">96</span>)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_208      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ batch_normalizat… │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">48</span>)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_211      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ batch_normalizat… │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">96</span>)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ average_pooling2d_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ mixed1[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]      │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">AveragePooling2D</span>)  │ <span style=\"color: #00af00; text-decoration-color: #00af00\">288</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_207 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>,    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">18,432</span> │ mixed1[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]      │\n│                     │ <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_209 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>,    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">76,800</span> │ activation_208[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n│                     │ <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_212 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>,    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">82,944</span> │ activation_211[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n│                     │ <span style=\"color: #00af00; text-decoration-color: #00af00\">96</span>)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_213 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>,    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">18,432</span> │ average_pooling2… │\n│                     │ <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>,    │        <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span> │ conv2d_207[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>,    │        <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span> │ conv2d_209[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>,    │        <span style=\"color: #00af00; text-decoration-color: #00af00\">288</span> │ conv2d_212[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">96</span>)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>,    │        <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span> │ conv2d_213[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_207      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ batch_normalizat… │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_209      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ batch_normalizat… │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_212      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ batch_normalizat… │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">96</span>)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_213      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ batch_normalizat… │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ mixed2              │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ activation_207[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Concatenate</span>)       │ <span style=\"color: #00af00; text-decoration-color: #00af00\">288</span>)              │            │ activation_209[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n│                     │                   │            │ activation_212[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n│                     │                   │            │ activation_213[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_215 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>,    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">18,432</span> │ mixed2[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]      │\n│                     │ <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>,    │        <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span> │ conv2d_215[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_215      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ batch_normalizat… │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_216 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>,    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">55,296</span> │ activation_215[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n│                     │ <span style=\"color: #00af00; text-decoration-color: #00af00\">96</span>)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>,    │        <span style=\"color: #00af00; text-decoration-color: #00af00\">288</span> │ conv2d_216[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">96</span>)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_216      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ batch_normalizat… │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">96</span>)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_214 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │    <span style=\"color: #00af00; text-decoration-color: #00af00\">995,328</span> │ mixed2[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]      │\n│                     │ <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_217 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">82,944</span> │ activation_216[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n│                     │ <span style=\"color: #00af00; text-decoration-color: #00af00\">96</span>)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │      <span style=\"color: #00af00; text-decoration-color: #00af00\">1,152</span> │ conv2d_214[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │        <span style=\"color: #00af00; text-decoration-color: #00af00\">288</span> │ conv2d_217[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">96</span>)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_214      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ batch_normalizat… │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_217      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ batch_normalizat… │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">96</span>)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ max_pooling2d_10    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ mixed2[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]      │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MaxPooling2D</span>)      │ <span style=\"color: #00af00; text-decoration-color: #00af00\">288</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ mixed3              │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ activation_214[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Concatenate</span>)       │ <span style=\"color: #00af00; text-decoration-color: #00af00\">768</span>)              │            │ activation_217[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n│                     │                   │            │ max_pooling2d_10… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_222 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">98,304</span> │ mixed3[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]      │\n│                     │ <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │        <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span> │ conv2d_222[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_222      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ batch_normalizat… │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_223 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │    <span style=\"color: #00af00; text-decoration-color: #00af00\">114,688</span> │ activation_222[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n│                     │ <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │        <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span> │ conv2d_223[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_223      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ batch_normalizat… │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_219 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">98,304</span> │ mixed3[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]      │\n│                     │ <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_224 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │    <span style=\"color: #00af00; text-decoration-color: #00af00\">114,688</span> │ activation_223[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n│                     │ <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │        <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span> │ conv2d_219[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │        <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span> │ conv2d_224[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_219      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ batch_normalizat… │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_224      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ batch_normalizat… │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_220 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │    <span style=\"color: #00af00; text-decoration-color: #00af00\">114,688</span> │ activation_219[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n│                     │ <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_225 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │    <span style=\"color: #00af00; text-decoration-color: #00af00\">114,688</span> │ activation_224[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n│                     │ <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │        <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span> │ conv2d_220[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │        <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span> │ conv2d_225[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_220      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ batch_normalizat… │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_225      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ batch_normalizat… │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ average_pooling2d_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ mixed3[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]      │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">AveragePooling2D</span>)  │ <span style=\"color: #00af00; text-decoration-color: #00af00\">768</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_218 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │    <span style=\"color: #00af00; text-decoration-color: #00af00\">147,456</span> │ mixed3[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]      │\n│                     │ <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_221 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │    <span style=\"color: #00af00; text-decoration-color: #00af00\">172,032</span> │ activation_220[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n│                     │ <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_226 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │    <span style=\"color: #00af00; text-decoration-color: #00af00\">172,032</span> │ activation_225[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n│                     │ <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_227 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │    <span style=\"color: #00af00; text-decoration-color: #00af00\">147,456</span> │ average_pooling2… │\n│                     │ <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │        <span style=\"color: #00af00; text-decoration-color: #00af00\">576</span> │ conv2d_218[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │        <span style=\"color: #00af00; text-decoration-color: #00af00\">576</span> │ conv2d_221[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │        <span style=\"color: #00af00; text-decoration-color: #00af00\">576</span> │ conv2d_226[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │        <span style=\"color: #00af00; text-decoration-color: #00af00\">576</span> │ conv2d_227[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_218      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ batch_normalizat… │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_221      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ batch_normalizat… │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_226      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ batch_normalizat… │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_227      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ batch_normalizat… │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ mixed4              │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ activation_218[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Concatenate</span>)       │ <span style=\"color: #00af00; text-decoration-color: #00af00\">768</span>)              │            │ activation_221[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n│                     │                   │            │ activation_226[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n│                     │                   │            │ activation_227[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_232 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │    <span style=\"color: #00af00; text-decoration-color: #00af00\">122,880</span> │ mixed4[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]      │\n│                     │ <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │        <span style=\"color: #00af00; text-decoration-color: #00af00\">480</span> │ conv2d_232[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_232      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ batch_normalizat… │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_233 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │    <span style=\"color: #00af00; text-decoration-color: #00af00\">179,200</span> │ activation_232[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n│                     │ <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │        <span style=\"color: #00af00; text-decoration-color: #00af00\">480</span> │ conv2d_233[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_233      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ batch_normalizat… │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_229 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │    <span style=\"color: #00af00; text-decoration-color: #00af00\">122,880</span> │ mixed4[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]      │\n│                     │ <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_234 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │    <span style=\"color: #00af00; text-decoration-color: #00af00\">179,200</span> │ activation_233[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n│                     │ <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │        <span style=\"color: #00af00; text-decoration-color: #00af00\">480</span> │ conv2d_229[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │        <span style=\"color: #00af00; text-decoration-color: #00af00\">480</span> │ conv2d_234[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_229      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ batch_normalizat… │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_234      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ batch_normalizat… │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_230 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │    <span style=\"color: #00af00; text-decoration-color: #00af00\">179,200</span> │ activation_229[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n│                     │ <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_235 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │    <span style=\"color: #00af00; text-decoration-color: #00af00\">179,200</span> │ activation_234[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n│                     │ <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │        <span style=\"color: #00af00; text-decoration-color: #00af00\">480</span> │ conv2d_230[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │        <span style=\"color: #00af00; text-decoration-color: #00af00\">480</span> │ conv2d_235[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_230      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ batch_normalizat… │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_235      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ batch_normalizat… │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ average_pooling2d_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ mixed4[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]      │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">AveragePooling2D</span>)  │ <span style=\"color: #00af00; text-decoration-color: #00af00\">768</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_228 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │    <span style=\"color: #00af00; text-decoration-color: #00af00\">147,456</span> │ mixed4[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]      │\n│                     │ <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_231 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │    <span style=\"color: #00af00; text-decoration-color: #00af00\">215,040</span> │ activation_230[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n│                     │ <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_236 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │    <span style=\"color: #00af00; text-decoration-color: #00af00\">215,040</span> │ activation_235[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n│                     │ <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_237 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │    <span style=\"color: #00af00; text-decoration-color: #00af00\">147,456</span> │ average_pooling2… │\n│                     │ <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │        <span style=\"color: #00af00; text-decoration-color: #00af00\">576</span> │ conv2d_228[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │        <span style=\"color: #00af00; text-decoration-color: #00af00\">576</span> │ conv2d_231[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │        <span style=\"color: #00af00; text-decoration-color: #00af00\">576</span> │ conv2d_236[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │        <span style=\"color: #00af00; text-decoration-color: #00af00\">576</span> │ conv2d_237[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_228      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ batch_normalizat… │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_231      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ batch_normalizat… │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_236      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ batch_normalizat… │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_237      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ batch_normalizat… │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ mixed5              │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ activation_228[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Concatenate</span>)       │ <span style=\"color: #00af00; text-decoration-color: #00af00\">768</span>)              │            │ activation_231[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n│                     │                   │            │ activation_236[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n│                     │                   │            │ activation_237[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_242 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │    <span style=\"color: #00af00; text-decoration-color: #00af00\">122,880</span> │ mixed5[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]      │\n│                     │ <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │        <span style=\"color: #00af00; text-decoration-color: #00af00\">480</span> │ conv2d_242[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_242      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ batch_normalizat… │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_243 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │    <span style=\"color: #00af00; text-decoration-color: #00af00\">179,200</span> │ activation_242[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n│                     │ <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │        <span style=\"color: #00af00; text-decoration-color: #00af00\">480</span> │ conv2d_243[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_243      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ batch_normalizat… │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_239 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │    <span style=\"color: #00af00; text-decoration-color: #00af00\">122,880</span> │ mixed5[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]      │\n│                     │ <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_244 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │    <span style=\"color: #00af00; text-decoration-color: #00af00\">179,200</span> │ activation_243[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n│                     │ <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │        <span style=\"color: #00af00; text-decoration-color: #00af00\">480</span> │ conv2d_239[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │        <span style=\"color: #00af00; text-decoration-color: #00af00\">480</span> │ conv2d_244[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_239      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ batch_normalizat… │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_244      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ batch_normalizat… │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_240 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │    <span style=\"color: #00af00; text-decoration-color: #00af00\">179,200</span> │ activation_239[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n│                     │ <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_245 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │    <span style=\"color: #00af00; text-decoration-color: #00af00\">179,200</span> │ activation_244[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n│                     │ <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │        <span style=\"color: #00af00; text-decoration-color: #00af00\">480</span> │ conv2d_240[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │        <span style=\"color: #00af00; text-decoration-color: #00af00\">480</span> │ conv2d_245[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_240      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ batch_normalizat… │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_245      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ batch_normalizat… │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ average_pooling2d_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ mixed5[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]      │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">AveragePooling2D</span>)  │ <span style=\"color: #00af00; text-decoration-color: #00af00\">768</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_238 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │    <span style=\"color: #00af00; text-decoration-color: #00af00\">147,456</span> │ mixed5[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]      │\n│                     │ <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_241 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │    <span style=\"color: #00af00; text-decoration-color: #00af00\">215,040</span> │ activation_240[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n│                     │ <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_246 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │    <span style=\"color: #00af00; text-decoration-color: #00af00\">215,040</span> │ activation_245[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n│                     │ <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_247 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │    <span style=\"color: #00af00; text-decoration-color: #00af00\">147,456</span> │ average_pooling2… │\n│                     │ <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │        <span style=\"color: #00af00; text-decoration-color: #00af00\">576</span> │ conv2d_238[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │        <span style=\"color: #00af00; text-decoration-color: #00af00\">576</span> │ conv2d_241[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │        <span style=\"color: #00af00; text-decoration-color: #00af00\">576</span> │ conv2d_246[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │        <span style=\"color: #00af00; text-decoration-color: #00af00\">576</span> │ conv2d_247[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_238      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ batch_normalizat… │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_241      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ batch_normalizat… │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_246      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ batch_normalizat… │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_247      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ batch_normalizat… │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ mixed6              │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ activation_238[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Concatenate</span>)       │ <span style=\"color: #00af00; text-decoration-color: #00af00\">768</span>)              │            │ activation_241[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n│                     │                   │            │ activation_246[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n│                     │                   │            │ activation_247[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_252 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │    <span style=\"color: #00af00; text-decoration-color: #00af00\">147,456</span> │ mixed6[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]      │\n│                     │ <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │        <span style=\"color: #00af00; text-decoration-color: #00af00\">576</span> │ conv2d_252[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_252      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ batch_normalizat… │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_253 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │    <span style=\"color: #00af00; text-decoration-color: #00af00\">258,048</span> │ activation_252[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n│                     │ <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │        <span style=\"color: #00af00; text-decoration-color: #00af00\">576</span> │ conv2d_253[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_253      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ batch_normalizat… │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_249 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │    <span style=\"color: #00af00; text-decoration-color: #00af00\">147,456</span> │ mixed6[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]      │\n│                     │ <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_254 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │    <span style=\"color: #00af00; text-decoration-color: #00af00\">258,048</span> │ activation_253[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n│                     │ <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │        <span style=\"color: #00af00; text-decoration-color: #00af00\">576</span> │ conv2d_249[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │        <span style=\"color: #00af00; text-decoration-color: #00af00\">576</span> │ conv2d_254[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_249      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ batch_normalizat… │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_254      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ batch_normalizat… │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_250 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │    <span style=\"color: #00af00; text-decoration-color: #00af00\">258,048</span> │ activation_249[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n│                     │ <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_255 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │    <span style=\"color: #00af00; text-decoration-color: #00af00\">258,048</span> │ activation_254[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n│                     │ <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │        <span style=\"color: #00af00; text-decoration-color: #00af00\">576</span> │ conv2d_250[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │        <span style=\"color: #00af00; text-decoration-color: #00af00\">576</span> │ conv2d_255[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_250      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ batch_normalizat… │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_255      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ batch_normalizat… │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ average_pooling2d_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ mixed6[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]      │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">AveragePooling2D</span>)  │ <span style=\"color: #00af00; text-decoration-color: #00af00\">768</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_248 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │    <span style=\"color: #00af00; text-decoration-color: #00af00\">147,456</span> │ mixed6[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]      │\n│                     │ <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_251 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │    <span style=\"color: #00af00; text-decoration-color: #00af00\">258,048</span> │ activation_250[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n│                     │ <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_256 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │    <span style=\"color: #00af00; text-decoration-color: #00af00\">258,048</span> │ activation_255[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n│                     │ <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_257 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │    <span style=\"color: #00af00; text-decoration-color: #00af00\">147,456</span> │ average_pooling2… │\n│                     │ <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │        <span style=\"color: #00af00; text-decoration-color: #00af00\">576</span> │ conv2d_248[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │        <span style=\"color: #00af00; text-decoration-color: #00af00\">576</span> │ conv2d_251[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │        <span style=\"color: #00af00; text-decoration-color: #00af00\">576</span> │ conv2d_256[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │        <span style=\"color: #00af00; text-decoration-color: #00af00\">576</span> │ conv2d_257[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_248      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ batch_normalizat… │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_251      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ batch_normalizat… │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_256      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ batch_normalizat… │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_257      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ batch_normalizat… │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ mixed7              │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ activation_248[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Concatenate</span>)       │ <span style=\"color: #00af00; text-decoration-color: #00af00\">768</span>)              │            │ activation_251[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n│                     │                   │            │ activation_256[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n│                     │                   │            │ activation_257[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_260 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │    <span style=\"color: #00af00; text-decoration-color: #00af00\">147,456</span> │ mixed7[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]      │\n│                     │ <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │        <span style=\"color: #00af00; text-decoration-color: #00af00\">576</span> │ conv2d_260[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_260      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ batch_normalizat… │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_261 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │    <span style=\"color: #00af00; text-decoration-color: #00af00\">258,048</span> │ activation_260[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n│                     │ <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │        <span style=\"color: #00af00; text-decoration-color: #00af00\">576</span> │ conv2d_261[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_261      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ batch_normalizat… │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_258 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │    <span style=\"color: #00af00; text-decoration-color: #00af00\">147,456</span> │ mixed7[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]      │\n│                     │ <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_262 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │    <span style=\"color: #00af00; text-decoration-color: #00af00\">258,048</span> │ activation_261[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n│                     │ <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │        <span style=\"color: #00af00; text-decoration-color: #00af00\">576</span> │ conv2d_258[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │        <span style=\"color: #00af00; text-decoration-color: #00af00\">576</span> │ conv2d_262[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_258      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ batch_normalizat… │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_262      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ batch_normalizat… │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_259 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">320</span>) │    <span style=\"color: #00af00; text-decoration-color: #00af00\">552,960</span> │ activation_258[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_263 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>) │    <span style=\"color: #00af00; text-decoration-color: #00af00\">331,776</span> │ activation_262[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">320</span>) │        <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span> │ conv2d_259[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>) │        <span style=\"color: #00af00; text-decoration-color: #00af00\">576</span> │ conv2d_263[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_259      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">320</span>) │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ batch_normalizat… │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_263      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>) │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ batch_normalizat… │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ max_pooling2d_11    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">768</span>) │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ mixed7[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]      │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MaxPooling2D</span>)      │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ mixed8              │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>,      │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ activation_259[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Concatenate</span>)       │ <span style=\"color: #00af00; text-decoration-color: #00af00\">1280</span>)             │            │ activation_263[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n│                     │                   │            │ max_pooling2d_11… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_268 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">448</span>) │    <span style=\"color: #00af00; text-decoration-color: #00af00\">573,440</span> │ mixed8[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]      │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">448</span>) │      <span style=\"color: #00af00; text-decoration-color: #00af00\">1,344</span> │ conv2d_268[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_268      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">448</span>) │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ batch_normalizat… │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_265 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span>) │    <span style=\"color: #00af00; text-decoration-color: #00af00\">491,520</span> │ mixed8[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]      │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_269 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span>) │  <span style=\"color: #00af00; text-decoration-color: #00af00\">1,548,288</span> │ activation_268[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span>) │      <span style=\"color: #00af00; text-decoration-color: #00af00\">1,152</span> │ conv2d_265[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span>) │      <span style=\"color: #00af00; text-decoration-color: #00af00\">1,152</span> │ conv2d_269[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_265      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span>) │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ batch_normalizat… │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_269      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span>) │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ batch_normalizat… │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_266 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span>) │    <span style=\"color: #00af00; text-decoration-color: #00af00\">442,368</span> │ activation_265[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_267 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span>) │    <span style=\"color: #00af00; text-decoration-color: #00af00\">442,368</span> │ activation_265[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_270 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span>) │    <span style=\"color: #00af00; text-decoration-color: #00af00\">442,368</span> │ activation_269[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_271 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span>) │    <span style=\"color: #00af00; text-decoration-color: #00af00\">442,368</span> │ activation_269[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ average_pooling2d_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>,      │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ mixed8[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]      │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">AveragePooling2D</span>)  │ <span style=\"color: #00af00; text-decoration-color: #00af00\">1280</span>)             │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_264 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">320</span>) │    <span style=\"color: #00af00; text-decoration-color: #00af00\">409,600</span> │ mixed8[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]      │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span>) │      <span style=\"color: #00af00; text-decoration-color: #00af00\">1,152</span> │ conv2d_266[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span>) │      <span style=\"color: #00af00; text-decoration-color: #00af00\">1,152</span> │ conv2d_267[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span>) │      <span style=\"color: #00af00; text-decoration-color: #00af00\">1,152</span> │ conv2d_270[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span>) │      <span style=\"color: #00af00; text-decoration-color: #00af00\">1,152</span> │ conv2d_271[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_272 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>) │    <span style=\"color: #00af00; text-decoration-color: #00af00\">245,760</span> │ average_pooling2… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">320</span>) │        <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span> │ conv2d_264[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_266      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span>) │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ batch_normalizat… │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_267      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span>) │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ batch_normalizat… │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_270      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span>) │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ batch_normalizat… │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_271      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span>) │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ batch_normalizat… │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>) │        <span style=\"color: #00af00; text-decoration-color: #00af00\">576</span> │ conv2d_272[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_264      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">320</span>) │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ batch_normalizat… │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ mixed9_0            │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">768</span>) │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ activation_266[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Concatenate</span>)       │                   │            │ activation_267[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ concatenate_4       │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">768</span>) │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ activation_270[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Concatenate</span>)       │                   │            │ activation_271[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_272      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>) │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ batch_normalizat… │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ mixed9              │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>,      │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ activation_264[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Concatenate</span>)       │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2048</span>)             │            │ mixed9_0[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],   │\n│                     │                   │            │ concatenate_4[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]… │\n│                     │                   │            │ activation_272[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_277 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">448</span>) │    <span style=\"color: #00af00; text-decoration-color: #00af00\">917,504</span> │ mixed9[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]      │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">448</span>) │      <span style=\"color: #00af00; text-decoration-color: #00af00\">1,344</span> │ conv2d_277[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_277      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">448</span>) │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ batch_normalizat… │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_274 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span>) │    <span style=\"color: #00af00; text-decoration-color: #00af00\">786,432</span> │ mixed9[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]      │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_278 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span>) │  <span style=\"color: #00af00; text-decoration-color: #00af00\">1,548,288</span> │ activation_277[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span>) │      <span style=\"color: #00af00; text-decoration-color: #00af00\">1,152</span> │ conv2d_274[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span>) │      <span style=\"color: #00af00; text-decoration-color: #00af00\">1,152</span> │ conv2d_278[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_274      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span>) │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ batch_normalizat… │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_278      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span>) │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ batch_normalizat… │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_275 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span>) │    <span style=\"color: #00af00; text-decoration-color: #00af00\">442,368</span> │ activation_274[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_276 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span>) │    <span style=\"color: #00af00; text-decoration-color: #00af00\">442,368</span> │ activation_274[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_279 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span>) │    <span style=\"color: #00af00; text-decoration-color: #00af00\">442,368</span> │ activation_278[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_280 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span>) │    <span style=\"color: #00af00; text-decoration-color: #00af00\">442,368</span> │ activation_278[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ average_pooling2d_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>,      │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ mixed9[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]      │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">AveragePooling2D</span>)  │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2048</span>)             │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_273 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">320</span>) │    <span style=\"color: #00af00; text-decoration-color: #00af00\">655,360</span> │ mixed9[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]      │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span>) │      <span style=\"color: #00af00; text-decoration-color: #00af00\">1,152</span> │ conv2d_275[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span>) │      <span style=\"color: #00af00; text-decoration-color: #00af00\">1,152</span> │ conv2d_276[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span>) │      <span style=\"color: #00af00; text-decoration-color: #00af00\">1,152</span> │ conv2d_279[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span>) │      <span style=\"color: #00af00; text-decoration-color: #00af00\">1,152</span> │ conv2d_280[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_281 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>) │    <span style=\"color: #00af00; text-decoration-color: #00af00\">393,216</span> │ average_pooling2… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">320</span>) │        <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span> │ conv2d_273[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_275      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span>) │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ batch_normalizat… │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_276      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span>) │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ batch_normalizat… │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_279      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span>) │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ batch_normalizat… │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_280      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span>) │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ batch_normalizat… │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>) │        <span style=\"color: #00af00; text-decoration-color: #00af00\">576</span> │ conv2d_281[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_273      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">320</span>) │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ batch_normalizat… │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ mixed9_1            │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">768</span>) │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ activation_275[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Concatenate</span>)       │                   │            │ activation_276[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ concatenate_5       │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">768</span>) │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ activation_279[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Concatenate</span>)       │                   │            │ activation_280[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_281      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>) │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ batch_normalizat… │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ mixed10             │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>,      │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ activation_273[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Concatenate</span>)       │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2048</span>)             │            │ mixed9_1[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],   │\n│                     │                   │            │ concatenate_5[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]… │\n│                     │                   │            │ activation_281[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ average_pooling2d_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">2</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">2</span>,      │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ mixed10[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]     │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">AveragePooling2D</span>)  │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2048</span>)             │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ dropout_2 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">2</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">2</span>,      │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ average_pooling2… │\n│                     │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2048</span>)             │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ flatten_2 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Flatten</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">8192</span>)      │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ dropout_2[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ dense_2 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dense</span>)     │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">101</span>)       │    <span style=\"color: #00af00; text-decoration-color: #00af00\">827,493</span> │ flatten_2[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]   │\n└─────────────────────┴───────────────────┴────────────┴───────────────────┘\n</pre>\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"\u001b[1m Total params: \u001b[0m\u001b[38;5;34m22,630,277\u001b[0m (86.33 MB)\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Total params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">22,630,277</span> (86.33 MB)\n</pre>\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"\u001b[1m Trainable params: \u001b[0m\u001b[38;5;34m22,595,845\u001b[0m (86.20 MB)\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Trainable params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">22,595,845</span> (86.20 MB)\n</pre>\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"\u001b[1m Non-trainable params: \u001b[0m\u001b[38;5;34m34,432\u001b[0m (134.50 KB)\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Non-trainable params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">34,432</span> (134.50 KB)\n</pre>\n"},"metadata":{}}]},{"cell_type":"code","source":"from keras.optimizers import SGD\n\nopt = SGD(learning_rate=0.1, momentum=0.9)\nmodel_incep.compile(optimizer=opt, loss='categorical_crossentropy', metrics=['accuracy'])\n","metadata":{"execution":{"iopub.status.busy":"2024-05-14T16:32:16.896413Z","iopub.execute_input":"2024-05-14T16:32:16.896778Z","iopub.status.idle":"2024-05-14T16:32:16.908795Z","shell.execute_reply.started":"2024-05-14T16:32:16.896749Z","shell.execute_reply":"2024-05-14T16:32:16.907786Z"},"trusted":true},"execution_count":25,"outputs":[]},{"cell_type":"code","source":"result_incep = model_incep.fit(train_data,epochs=10,validation_data=test_data,steps_per_epoch=len(train_data),validation_steps=len(test_data),callbacks=[EarlyStopping(patience=5,monitor='val_accuracy',restore_best_weights=True)])","metadata":{"execution":{"iopub.status.busy":"2024-05-14T16:32:27.616996Z","iopub.execute_input":"2024-05-14T16:32:27.617719Z"},"trusted":true},"execution_count":null,"outputs":[{"name":"stdout","text":"Epoch 1/10\n","output_type":"stream"},{"name":"stderr","text":"/opt/conda/lib/python3.10/site-packages/keras/src/trainers/data_adapters/py_dataset_adapter.py:120: UserWarning: Your `PyDataset` class should call `super().__init__(**kwargs)` in its constructor. `**kwargs` can include `workers`, `use_multiprocessing`, `max_queue_size`. Do not pass these arguments to `fit()`, as they will be ignored.\n  self._warn_if_super_not_called()\n2024-05-14 16:33:37.143463: E external/local_xla/xla/service/slow_operation_alarm.cc:65] Trying algorithm eng0{} for conv (f32[192,80,3,3]{3,2,1,0}, u8[0]{0}) custom-call(f32[100,80,54,54]{3,2,1,0}, f32[100,192,52,52]{3,2,1,0}), window={size=3x3}, dim_labels=bf01_oi01->bf01, custom_call_target=\"__cudnn$convBackwardFilter\", backend_config={\"conv_result_scale\":1,\"activation_mode\":\"kNone\",\"side_input_scale\":0,\"leakyrelu_alpha\":0} is taking a while...\n2024-05-14 16:33:37.579832: E external/local_xla/xla/service/slow_operation_alarm.cc:133] The operation took 1.436543216s\nTrying algorithm eng0{} for conv (f32[192,80,3,3]{3,2,1,0}, u8[0]{0}) custom-call(f32[100,80,54,54]{3,2,1,0}, f32[100,192,52,52]{3,2,1,0}), window={size=3x3}, dim_labels=bf01_oi01->bf01, custom_call_target=\"__cudnn$convBackwardFilter\", backend_config={\"conv_result_scale\":1,\"activation_mode\":\"kNone\",\"side_input_scale\":0,\"leakyrelu_alpha\":0} is taking a while...\n2024-05-14 16:33:39.185290: E external/local_xla/xla/service/slow_operation_alarm.cc:65] Trying algorithm eng0{} for conv (f32[192,80,3,3]{3,2,1,0}, u8[0]{0}) custom-call(f32[100,80,54,54]{3,2,1,0}, f32[100,192,52,52]{3,2,1,0}), window={size=3x3}, dim_labels=bf01_oi01->bf01, custom_call_target=\"__cudnn$convBackwardFilter\", backend_config={\"conv_result_scale\":1,\"activation_mode\":\"kNone\",\"side_input_scale\":0,\"leakyrelu_alpha\":0} is taking a while...\n2024-05-14 16:33:39.620148: E external/local_xla/xla/service/slow_operation_alarm.cc:133] The operation took 1.435029298s\nTrying algorithm eng0{} for conv (f32[192,80,3,3]{3,2,1,0}, u8[0]{0}) custom-call(f32[100,80,54,54]{3,2,1,0}, f32[100,192,52,52]{3,2,1,0}), window={size=3x3}, dim_labels=bf01_oi01->bf01, custom_call_target=\"__cudnn$convBackwardFilter\", backend_config={\"conv_result_scale\":1,\"activation_mode\":\"kNone\",\"side_input_scale\":0,\"leakyrelu_alpha\":0} is taking a while...\nWARNING: All log messages before absl::InitializeLog() is called are written to STDERR\nI0000 00:00:1715704449.503272     136 device_compiler.h:186] Compiled cluster using XLA!  This line is logged at most once for the lifetime of the process.\nW0000 00:00:1715704449.604863     136 graph_launch.cc:671] Fallback to op-by-op mode because memset node breaks graph update\n","output_type":"stream"},{"name":"stdout","text":"\u001b[1m909/909\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1098s\u001b[0m 1s/step - accuracy: 0.0177 - loss: 4.8053 - val_accuracy: 0.0560 - val_loss: 4.7051\nEpoch 2/10\n\u001b[1m909/909\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 62us/step - accuracy: 0.0000e+00 - loss: 0.0000e+00 - val_accuracy: 0.0000e+00 - val_loss: 0.0000e+00\nEpoch 3/10\n","output_type":"stream"},{"name":"stderr","text":"/opt/conda/lib/python3.10/contextlib.py:153: UserWarning: Your input ran out of data; interrupting training. Make sure that your dataset or generator can generate at least `steps_per_epoch * epochs` batches. You may need to use the `.repeat()` function when building your dataset.\n  self.gen.throw(typ, value, traceback)\n","output_type":"stream"},{"name":"stdout","text":"\u001b[1m909/909\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m378s\u001b[0m 412ms/step - accuracy: 0.1197 - loss: 3.9372 - val_accuracy: 0.0480 - val_loss: 6.9642\nEpoch 4/10\n\u001b[1m909/909\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 23us/step - accuracy: 0.0000e+00 - loss: 0.0000e+00 - val_accuracy: 0.0000e+00 - val_loss: 0.0000e+00\nEpoch 5/10\n\u001b[1m802/909\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━━━\u001b[0m \u001b[1m39s\u001b[0m 367ms/step - accuracy: 0.2832 - loss: 3.0845","output_type":"stream"}]},{"cell_type":"markdown","source":"DenseNet201 is best option by observing comparisons","metadata":{}},{"cell_type":"code","source":"donuts = load_img(\"/kaggle/input/food-101/food-101/food-101/images/donuts/2563686.jpg\",target_size=(224,224,3))\ndonuts","metadata":{"execution":{"iopub.status.busy":"2024-05-14T18:18:13.164213Z","iopub.execute_input":"2024-05-14T18:18:13.164938Z","iopub.status.idle":"2024-05-14T18:18:13.190698Z","shell.execute_reply.started":"2024-05-14T18:18:13.164907Z","shell.execute_reply":"2024-05-14T18:18:13.189828Z"},"trusted":true},"execution_count":52,"outputs":[{"execution_count":52,"output_type":"execute_result","data":{"text/plain":"<PIL.Image.Image image mode=RGB size=224x224>","image/png":"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"},"metadata":{}}]},{"cell_type":"code","source":"pizza = load_img(\"/kaggle/input/food-101/food-101/food-101/images/pizza/768276.jpg\",target_size=(224,224,3))\npizza","metadata":{"execution":{"iopub.status.busy":"2024-05-14T18:18:17.014908Z","iopub.execute_input":"2024-05-14T18:18:17.015250Z","iopub.status.idle":"2024-05-14T18:18:17.039731Z","shell.execute_reply.started":"2024-05-14T18:18:17.015223Z","shell.execute_reply":"2024-05-14T18:18:17.038862Z"},"trusted":true},"execution_count":53,"outputs":[{"execution_count":53,"output_type":"execute_result","data":{"text/plain":"<PIL.Image.Image image mode=RGB 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"},"metadata":{}}]},{"cell_type":"code","source":"ice_cream = load_img(\"/kaggle/input/food-101/food-101/food-101/images/ice_cream/579407.jpg\",target_size=(224,224))\nice_cream","metadata":{"execution":{"iopub.status.busy":"2024-05-14T18:18:20.407249Z","iopub.execute_input":"2024-05-14T18:18:20.407646Z","iopub.status.idle":"2024-05-14T18:18:20.432924Z","shell.execute_reply.started":"2024-05-14T18:18:20.407614Z","shell.execute_reply":"2024-05-14T18:18:20.432061Z"},"trusted":true},"execution_count":54,"outputs":[{"execution_count":54,"output_type":"execute_result","data":{"text/plain":"<PIL.Image.Image image mode=RGB 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r57Pn3wY9tRKadZ4kWbAkLPMjKj7ujvn8v3ArWRPxRiniFkqNgVSKMU7qilFHyD0hid6/gTYAiLibb3N4zgyiKJBVO8tS601q+rj8bDOdTECgLW05+y9r7UKqCWLWBCxMbeaWuOhnypI3ZJAjZ0X4SYqAIZwOp+a8OPxcM5UbrkWINi2bV3X8/k8jmOtVURUWmuiAKqYUzKenfOpgXOu66d92YahX/aFFK21wmCtJaLHfSa0iNiqAKIxThVDiKC2lKqizGysmefZe2+6bp0fpVYfQi6Vmbuu2/f95d1TrdV30TlXrF2WJe/Z+0hExpg9tWEYWi4hhAOFeHp6etzvfYh7ySGEKnxcwkT07t275THnnPd974chlxR9UEUF2PdcSnNdv+952zZrrQESkX1fmZOq9r5LKVXIQ9dLY0vCKaVxOrPhvbbn82lPoOzFMIKbxifjXC1sjKkirTXjbC1cShnPlz52b29vKHw6jWhNLSlGz5WfXp5rzbnyeDoLQxONMeR7JmIArJWPmzGEThD2su8lG+8EgUGZ+XQeuzgY4yxR1738+Z//q9/84V8QmFK1s7E2NgSlqEWXS0XU4MLpdAnOIRIANG2ny1kYmmVVrS0Xbs7aVLN1sTbxdvIdklgqN9Pq0Mc4jL9rsHDpzi+3ZQERa1wXXNpECKwDQBnGrol41X3P1rt9z4VUQVX1crksj72U4lzaSmZu1pELgZkFVACt4nGPp5RUmZlLKdZTjF6VraWc91IKIk7D6evrN2NMbtV5DyyP7XY6j8GHbd2RaC8Z8eiOFMGogmru+w4AiSjGuG4zVDHWdt3QqpzPT+ttJoXWWmtyni4+2G3bRCTn4pzz3qdUiGie52Ho9jSX6gCAmafzEyIyJONs8FFVr9frNE19Hx+PR1q3y/lMROM4llqJaC97zjmEsO9r7Pxx9JnZkG2NmZm8V0VE0xoTkQECltjHUkqraegHkVa5xRAQKDingrSti/e+trzvu3Om1JprIbLGeBEMoSe0wzBtW5IqiHhMiEfFbq2RxX4aDwCitQao+77mWte0Axnr+8JC1rzdrmCoqYAhAJDff6nqOI7M7KxHIFBDZEVqLnsprR+ejBt/8as/FnIhBusjEqnivDZuWAqjNWgsKwDQsmzKUEoTsIpmL5mCs51zXaTo0VkKwYZYxWSxaCbEaeovvYsn65/6aESQwVnvvfPekcFtW5lb7IIhJKJ5XVNK9/uMhlQVAAhNDF1p7fO3ry742EdAFFDrHRnDCvO6KJp1361z274v69qYrXdH1w6Gln0r3HKrqRYlfKzL69u976bKYMha67x3Q4zc1BK11hrXbdv2fa+5HZBQrTWldFxHCmytLaV03WCM8y4C0JcvX3wwKa/7vscYb7fb67erdxHQlMrWBQU6nU6IKCIi7L0rJanqOJ2BcEvpgJasdyVXtMZaezpdnHMAsCyL937f933fD0zNWltqdt6u68rMz0/vum7ouiH4DhFbZW5ijKmpcmHnnDEmBPf0dO67ILW13LwNwcVpmmpOJe82dGMY+pRrN3nn+z0n3/WakRnO57O17nq/xoghOACj6hWRWZ+e3x1kI9mYc1bEfdnfvUxpy10frOtOLy/MfH88XBhrAzVWyRVmBSgNhtgBQGvNWTvPdwAYp5dt20Sx7yP5sm7SGhRr/uhf/OW88kRQakulKkBTYNZWarABLUptllCFgVwRzEXIgzVg+8jayBo07hg/CSwidM5SisS186NvznRP6T/++67WS/Tbo6z3hSywqkHy1lE/GGMf64Khs9YCGR/b0E9o3ePxAAtCxoXICmiRiJgFLClR5Tqva+xP25ym/iwGl213znWnEUC2JcdxaLX0/Xi/31MqwzCo6uXyXJs+9tV7r6pElhmI3P3tTaogaW7ZOdOy9v0gqIi4bVurZZMZALquy2k9jaOIANqS89B7Q71BDp4AwDu8Xuenp5fH42FjsNYWFhD48uWL9z76EGPc9x0A1nU2NnsfL8+n6/V13ZIw9318F96r6tv9JiKn04kQH4+HIBxUU2ttGAZjAUktjUTuGO9CCMu2Oec652IXaq1j36lqznkah31NwDKdhp2zMVgLW2vf3t662NdaiLrOhAjW+dA5HyoLKHrvjTHWugN0iNF3fQghnM/n8/nc9/26rtu2IWI/TkgWwXS+r7lZ6xTovsyPx+Ptei+NFY0gpJybCCI24QOn2PddRaQyCgFjy5UUo+3qLhZ6KcbC+P37P47+CTXuq7Ax6Kwa200dI9nQF9EqykiZpYhkZlEAREVIhVWVPJGhhqqWwEPVVpS3WsWFRr6YuPsX7p/OH3/Z9afH2xsy984BIAg45wFw2/b7/RGszzkP03iwX02BmxiytVZmZtV+PClAqXXbl6OwHeP2+piD86i4peRjFIBc632Zu3FwMVjnAanrh3E6ldpEYduTi44cMXPwnTUewbUKp9PpfD7nWmOMPoau60D0QC6Po9z3MQTXdZ0Cp7z5YJl5XedSCnNtdW+cjaHr9VupadkXG+xBCC3rKgjHi6jq/f5Y1+3xeAgokgo2MGCMGYbBh0Bk0VCMkZtYa40xIYRDIXC0wq21lPfWWq251jqOIxEhYi7JGBrHwRhEVGOw1XKaxi6GGCMphhBbVSUapvPBEB0VvRt6WwAckYmxG4bb9X4+P7XWUPD9+/eq4Jwrrez73riQRiSyzkcTS0lNRFWXbQcgAPXevr29nU7n1sRYC3gASk5VReF8PqctgzGtlGEYDBIi9n2vRT99OL9///7Lly9Mum3bNJxKqhZGT9Ovf/EXFsfH2w6GOsPOOUGte0VFZlFG7w1DM4AgRrQqIVqrghVasE5ARdVYEgHVKqTOOHaMZAHROcsaCcuk+3st8e//bkuVEK3x0hSUamuIBlVrYSG9Xq+1srW2SXHW930P6I4uJaUELMaY49R4Z56enpTrXpIxBgCl/tzPlFIA4eARSq7WWucCEYVwwFUppd05513UprfbfFSKnLPOaq3NOVu0LVWDBr051Bt93x88Sylp39cYY2vFeysCrZVcUuwdkm77Q1S7rjv6tNB3KHrw4y3tiAggytD3IwB1Q2wiZPB6+2bRqaq19na7DUM3z/PQ9ff7fez6nBIpkLMhhFRLCME63NOsyp0fl2WpRVmac66VzFzn29vxjkrd5plaa19+XMZxQjTbsqGnxzI3Uc05xEhkRMSeT+++fX3ruvGn3z0uzxdjadtv59PLvOzOhZQTKjrjW81Vame69bGgNdYMwRtWNFBTKgfp3A+XcbrknDXEUvcu+G2fSzVdN5DxRJL2OgyX+boE4z48/cHQ9X/xz//SG9OHeBu+isj1+jqdT7fHzkLj+UNU+va7L8Pp+f3H74LDWlmZ07qqGAAyxrY1g7He+VqZAaAj64g5WWtTLURorVFVQygAorqmvfdBFRlQEKCQ96OLJ0j1rz69+1zq397faiVEXNfdknNxasKplMmPIpL2mzUWEES5NnWd8TZev90QjSh446xt5CSXte/G67x1fff19u3jx4/QKiIKMxJaNGVPh6ShVRnHkVlF27bmEPpak7E22PD2eOv7blmWy+VSlYhoDD0AzG+PGDthSLk9P78/+sVcExpgbdPT87quXIu0Mgxda3Ucx1JyrWJdR0ZqLp7QGMPWzvPcuDHCvG9DiN44shmB+z72/fRYF1El7z4+v7tfb2lPMXoiO4192vcYe7QOAH30nQ/GmPv9HqdpSxuz8b5DciJiHY79WZpS1XO8+BPN+z14a+FEBEjm3fvnZStLTiaEbb0754auF1AEyntBNPafBA3TNF0ul9v9Ok0TIzRhEhmnPu28rpmMG6fT2/X69O7dsizG+qYiIiGEvkdjMqH1xtUifTclaS03cggCp2lMqYFjh50JwYF79/TRNHx//vj9uw8n/6TMZWlPw8d12371/bNxbhqKgBF1XJLjTPlR7uhoKPtOxkY0tXHaS1NCaNYHGoyUrMAVEjKBtaAGALQqOdtqZRRrLBkD0h735WmYEAmEosXODF9/nMduGvwY68NWAWOtsU1lS+VpmLb7XVRyLszc90POKfRhnh9EZKrpQk9EzvnHdu+CJyJVNsbUWo+773K55JxzriGEYZisddoUAPZ9V5K+7wWhaVNCJWAQRCMiOWfnHKJeLqeUtm7ovbH7vuWcz+dLWpMxFivcb8s8P/ohhs4bgyLinLGWQnCW+lKKd52zwZEBSKoqosMwqmKtjXlTaefT+NNPP1mgXFp/Pr17fvn27VvOZRhRajPeQGNp7L1nZgBExD2tLHw5nVtrKSWAqIoHjA+Al9OTKtecai0GAQDXtbbCRjDlDVDGcZym4XF9HP0JGdN1XWtLrllAmjRt3Pf9Mu8AVEqxzjnnHCKMU/+73/3udJ6stcLsuoiA676XWjLLpw/vhGE4TcyNjOnGbt9zbS2XlnNVRiRatvT997/c990F3/tOuRAjCiqr7bx3Z67y6eX99+++G11vhbyg2S2RryWjtdG42MUqfJmIyNbKj23/MASWBEtd7l+EFY1tYIbhab6tJUvD3Pd9BERuSFhKghhM1zMCGiMqdRNnHKgIkDIIE5JvjA4diEhJSTdmuzxSH8ZT5Xp9pG4UJGtcVcgsAOCMOajCZZ3fv393m9/6PhqLpbKqOucOCCm3yqIIPAyDs2EYhp9++qnvR+fcdDojYghxXfbofS089NN1fiUDztpaMyJ5b3NOfRhqLbVyrdV5U1uuLftmCzcRJTI5V7SuVnn3/rsffvgB0JYqlRfnDklcOhj/se9zqt25r5Vr3kspzGyNr8qGHILpnI3BPZZ5HEcDRkQZ8e16QzLTdL5fH9waoXoyhyAzhDDP8zSFUgRR130rpSDAPM/h6VkErPV7ycxsQAFhnOI6L4SgahAx1xyq997uad12W2tVQq6pSTU2VmmxC4nL75VWpetjDN3jsdh1XX2w1rh1XT59+vT29jZNvnCOMZZS+hCXbbbeLVsCAEWojQu3cp9FhKwRVu+DilnnbejP0/j8/Xfn6eT/3b/9NzZ0Ht3tbTahlwLD+fz9H/3yr/7kn51cN7/eednLnAwhMQqbbd9e3r8rzMHGY5zMe4LSpml4zG9ln6G0eV3QWONPyDCIdNbsrK4WXu5oiBBqKVJbzc0657uYuUE0jAooiuBs4Cpd6GqpxpKIMNemojZ2l/fLt+3pdP7lu+d5L+R8EhinqTGTs8ht6CdAuVwuzDydhlrLoU0haoR27IfWWvCxcWX5eQRsrR3oj3MupeKce8zr2A+tHXKn2Xu/bRtRIqL5MZ9OpwNsiLGrtZzP58f81nWdatu3PAxD1w37vnf9WCs3zntmZzsimk7dPN8up5PzdkkJUJB0Xdenp+f5vuz7Pva+78acs/ex5oJohmGYJne93aMPjVWNJYuMNq13YwyZgGgIDCpB5TDYxzKzVNH2+vZlHE7zujNraw0RP7x7v+canWfm6DzRIbqDlNK+r9M0pb20wo6McWbf933Pj3l1lvq+b01rrXsqikbVh86TMVMf1nU1wPPyQETbdcEYw8z3+0NAvfelyJa2XHMMbitrjJHIOheWfWEGY21jBgTf9UQ21UUFLNmn5/f/y//mf3U6PXkXDdfvLr/4f/7f/i/v33+I9v71Pntz+l/8z/+rp6en9FiJHaEXkBBMK1kYyKAPbp7nMPYAkLJag2mvUxw17e/H0yytlZWsNMzC17Y+Ot+jsZ0frFULG4IpubZl21+5AcVhTOTMMLI3uaauCxRchgKCEtlLExaVAlh98NP772HvpyA//Pbf/+mny9vf/bYh3dFel9v08uLZcE5EAEC5ZufM9e3t/fv3yzL3cWBWYWkkAlhLZmZrobVmyMUYnXMx9vu+G+cVkVvJtdSSDnGGD2FZltgNrbXz07OI9OOUl4SoxpgDEEgpeR8M+W37eTZn0NB393nZ8pWFx3FQ1BDCsmwAIIR9P9VaOx8+f/56Gqe+762FGOMBPB+/4f1+l2JtCJxqa6JarfFp3Unp/tjcWkIIXQilJudMzbtyM8Y/PZ0rF+bWnzyycYKt8I+ffwcCMfaq+v504VaFOdjQdWPwQ0qbkgA1QHk83pzrkJwzziICmlxaN/Sgcr48rctmnUeD1/scnBGBWppBaw/MyDoTo/feCyNzC94/HreSrbXWUxjHcein+7r54Fl0GGNTMdYbY1pOxjhuEGP88Ok7Ay6EuHy9vn/69M//2b+qbX/3jv/mdz+8fPfd5fmJG5M1rUk39HtlISJWGywzW2bjg/OhCRhyqbAPgzHKWZZ1VXDd8CwwG2h7K0gimpTN6XTe0woV05KN8S99WKVt62aJ1iKtSDyNjoxh5FwP/LymbFCBm6QdOK1Sfe8wJbdtruWz4T8I9DCac5l6v6c1kDUGl+XunFMARHuaLvuWrQn7svf9+Pq4eR/JGmOsgFprReTgLZm5tcUYM01Da+1RkkgT1RB8zqlUFoFtS+/evfv29e3xeHRdFx2KCIsAQAjd4/G4XC6gtO2LaBGEyuX2uHdDX5uWIkjcmEspp2lyzrw91tfX6zAMj8fy7t0zIYoIaj10OQdyEkIYhq7VXHIjoq4Ly5ZZizVWGg7DoILGmQpMxpA1y3Izxoi2bVvIEoPGGPKWcsnGGGPRkBNp3nuRtm2bc+5xXwjtuidVBIC+79O+OmOIqNZqfdj2XUDfvfu0pbXrOgRyLhxsgjHY2a5uNcY+uPhzD+qDa60xV2d7Vbyv80E9X6bTuiSu7XF7hBCHfprXhax3SACQCgOqiCDaWisCWR9a0+A6JPv9p+/3fe9O49N3v/TDZC2Rt2trl5eTJvbWSa6bTdIYmdteUmayiMaAM3vK0bqWiicb+5MCy5qmS2QQWx7LOoswGN23t5w2CAG45n0B2w8+DBhSa6EfuOvXLTHp0AWyWHI5nWIFNdI8mdu2+rRvNXfZOy0XY5rBeZk/DsGJ+ZY3adrQl7yNsQMQIlAEMqBVD6QTEUspMcZpOhtnFUC03a8/TdOkgofm9ZiTlrT4gyGJEVBFmiOTi+Zcvvvuu69fXo0x4zipas7rMAzW2vt9BoAuDq1KqZsxiIjTNJRaD95hOoXrNavKgQExc0rJGhfG6JxjLI1LH7tamZDIQ8qbNb5xMYzbmmopYOx4Oi3b+t1333358qXlFKJrVZgbViw1KVTHRnMOwdVUFYAcWO/3fVXWaeqXZUWU2A3bmmorSTT6kGtxxlyvc9f3pdR+7FtOzjlvKO9ZEay14/O7WvP1dleVfgrbtomAInkXfHB9P963q4iklOy2NhWXdmwSUuaPzxcR8cxkQ8rr23wdulPo/L5nTwRY17JCS2N3kqaYqlojDWqqg3/Z7jk8DSpiAPYtE4QPLy/UB+hOto8EBgCH05RV0RKGXnPpg+XamPVsQ845pVRa1jUbpH3PnfP3NQ1dzwwCFRSIIPRPJoyIqsq8713omGuD5hwRNWVdSiayLa3BlIsNQs6lDcD1rsMkKlRrLnXf9rntt5a3vFaA7a3+JOlucvugX4pMVFGds45bA1YAE9XHptKP53a/YxNDEYwi0anr7rdXG3zKOfZdf36uIqELYOl+vTnD1+trNw21sveRFZBC353Wde0jBedfX19ba9Ts75VNZt05BGt9f5x+VXUNnt69f71eoUJZszF0v91eXs4W4eV8UYXb23WZ16fnc5LmvZVWQjTb3OaSSCl4AtJpmkRYpO15NZ2N40sua22rc7yvX7wpDEqC3KogNmSKPqcWfEBV33XzfD+fz2nfid0wdMs273sBtYYMN7XWGgKwNjMzHEywWoM+Rm5sMVZANL4bjWcFIB/CuqXKGqK/3m5KxvtoULo+rvPSSvv47t2XL19SKjbGLuVcKwPYcRwQcV22dS+W0PtAKI/HIy37MJwLl7ZrjBGNtdayCgZtVWuT6AIogWgrBQAMKzK0XDkwqvbjgMEpMzdGRFVwxiKqc64adranUkMXu6lv2r69foFCXCWi3dbUd908r5fLRXBUZUABkBg6ZRZh15Nyq6k+Hg9vQwgyxGF8OaeU3x5zLdaRATIG8HZ/KGxgnY8dAVuiaZqQ51J5ff3tvH31/O1pNMYAIXXOR1daSn66pH31CGSNiGz7tqdkiMaur7Vya6dpksbTNC37FmMMIaz7enA8zpiu67x1zLzOSwjBHtrhdUMFS2aeHx8+fMKdnHOH+PLgbA6116dPn377298euoVxmlIpfd8b57eSReD9+xcAOapmziWVHGNc1zWOg0GqzNJaaXkYTrWwgC6PR9cHY34WgG7b7nrwPpayHQyCMYYIT8Moj7mxFuGxHw1Sa9Uq7HuKcZjnrQuxVc6JQW3wPmtrpRJpq9VGDwClFGsMi3gfRGTPubV0uIO2bTvkAbXWYE3j0riYht77Krrva/Q/U1OHogARu66zuTTnOnLaod1Sut8eOdfz6am2Xdmw5HHoRMR40yorCiGSMfM8d6Fn1vdPf/D9979oVU7DxTlnEOd5NjdttaStjmfHisIAClyrIlRhAIzRAtjC2XWxFabgbG/BgEf/afy038u27Fr45CbJOp4mRGIxqkBAouzQplSsJSHyMU7Bzrf7vszL7eo+fOydumjub1sp3PmuNbrfrqaPW9qlNmvt0Idg7a4pt43zLd9/cPUtuJQ38Z1DYaIyBtMJb6y2C3vK3jgCONg8MOaobcwNANa0n8cpdl2uRQmJaJqmbdsAgMga41IqzExgEmdVtWSUhZlVddu2xu1oWw86O62btdY599NPP3nvY4zbtimqopIxOe+x895FkSYizrm95LEfcs5oKC81hNZYDmUJOZtqBkBE2/e9dbSuS2vN+85am8vedZ33MaXNGmcNLMuW8kokFs3T5eXL12+15BBC350OOCL4QQWcsyKYc+OmwXvnKDjbaimlKOmBmJI1QNiEkUhAp3HMeW+1xs44F6zTVMvTy8vnLz86ZwXUKDpC5+1hDokxHvLqrhtsrlq5ttbQmH3L1jtr7e0xD13sx05avr6+ddGratoLK9gYy76imFb108df/PM//c/7vrfW9n0fXTDeca62ua8/vYauq9w614knMEAWVdUZl1I6ZGpEhN6CqLAqACIUZT9YB9g7RCWToW5leazLvgYXWinGGGdEVGpRazw6REsG/adf/FJrery97vO9N8k511ESLnk1maMbngJEIVr2deXitVfL0PJ8/erq/dITrjVQWreVNfSuWay91c7iiuB8dMTYtKkcg/khOz+Y6EPD5ZxLrVpr13Vlya11wzDs68rMDYXIShWpEoM/sCcuVbT1fV9KAcJ1Xbmpj+EoG8c0c1gbtm3LOQPCMAzLsoYQlDlEt22biE7TVCsr4jiOh0zTgGFh7y0zA0A/DCKS9s0YBCIXQ4SulMJNXbTWWkRlViLy3t/v9+vb/fL0kgp/+/alC723bl+XCra11nVdiP7bl68huH3ffbDeemF1zi/LMk5DSlvXddu6A4BzYU27MYbQhhD6PrZWhrH33tfa0l6E6/k8fffdpx9//J0i9P1YW6mtxBhjCLVWYj2eCtsNQ601OMfM56eTcy6ldNv3vZX56/L+/Us/XLourNvGYpi13Kr3wWg3jS+//v7Pnk6fjCN0BBZtF0DgfL5syy5ot5o/dVEMsjYCCwA2+D2n0EVByDXnPY3uLI3/+t/99dPTy/nd9PThnAtjhNh10tQpuhzoZNd5g02n6fS4vWkRZ208X/Kegjupo8YNY4vRG5T19vp4+0dLqlyC+Mf9K8R3xBkwm6q0p3SvWw4ScN/u+f5ZebtEdGNf94fzSFhFc6fuxQ/0ttjhHZILxixSvPPCbJGWlBRgr0XV1lz6YXisS21NQEMMpTKg5Jz7vjfgai6X89PjdhORw9oLIMv6qKXGvkcUH4NzLu1l2VZEnKbpMKc75x6PxyFPIYd7abnxcIpY27wsIsKMddlSymM/iQia9vT0vM4ziwChSANk0KrC6EgAHsuMiJyaMU4EjG+11pxz1w2320OVETH6kPdkQzdOw75n0Tb0kVsjg3vaUt6tpUM/VFtmqX0c9n33xkLTznciMgxDbjWXikRgCI1RqD98/okMeu9bWgHIdS5v7e32WluZzqeSV+F9GvsQxxDC7e1KZA5jiQjYPe8A4L0XlqELaduFW605Rj88P9Wq1vclc9ddtuUthI4ZAvV/+Ad/9unj9x/ffycKCBC8C9GQB8igglWhP0/jqafghNRaVGQxioghhH3fk0LXxVYqKhs0Xej3xz6dz9tW1XM8uyrVeccMCkzGdDHahWoul/dPacuO3PX1zTnPjXKp49QBVoBigg9DD4nn6zcLYv0wxmHJVxbN2qyPbb6v8+qlF695m0/RQXFkACHa0CMzkjhrasvR+HPnvqbCUvsQQt85Mss8v3z8lFsV1VTLz5fsvjtr0RCAGmcdOERUlWXelNUZz7yooCFXWy5Fa80icj6fK3NrXJYaY1zmzThbSoEO/kntdUBC375987YHAOtjazIOUykupVRrRsBxHEVURNZ1hwEaqiA8lkW5nk6nWouzPoNKYxt8dL5Adi7kXA+5owpWZmOcta5xDdCzCrDcbzdjTPwZ2xFVAeB9T87aYJ2qDn1Ie855d85wqYfzFgm2dVPCbui/fnvr3IAANaXG1aIVaWmvzoVhCDb4PS2t5On0lJM6MtrqcakaYxCplfJ4PIZhssw/q1ydc6+vX1EBEafz6Iw7OnRUalWYi3cDMH3/8dP7509/+Js/G4ZzF3sfQ+KEqGqoNUCBPaf7Mnd9CGNPFo0nxiakR6csjCGEtGVHxnvv1foA37//7m//5u+3xwoWhpchSwZRdEBkgBSMksFoI85Sc2tLLaXEvkMwimaYRvKQy+K9tV0ohYahSzMCZ4/GmQ7AbCXJbr59+VKBtG7LdaUxgKxQdlVlJRMGFY9gvSl73hR8CHDuOlMRiKTkOe1Pp3PXdbfbjZlDjIUbAo7TdKhujbOFWyq56zpVDSFkzrXVGOPb29swDFX40/fff/78WRCMcz5G3vdakyKklC6Xy2OZjTGIOI7j/X7vus4Ys21bCAGNzSkxt7IXS2bf9xDC5dLNj1VEYuxLyt77t7dvpZV+iM5aNIigfexKSqXWGGMXfVq3n2kt40pN1uLpdP727dU6oyre+x5jqsWGCCUbg4/HzRnqul5VRchYLCmpthjjtt6RyDnnrC8KqkgE67qQddyaiMShR0Q05L03lgAOz/DufXw8HtM0Oee6YJdlOV9ONeV1XcF2OWeDJCIHZAsAdpU8OJv3jDWJsEVy1jo1wQ/OxfmxB+rI6J//yZ//4sMvnHMKNI6n03QBAAAEh9aYCoWEyPm321Lm2j2fySqOtnoFrABi0TbRWtiiVRYUqLV575eUxin26k8/Dsu3PXZjS8gxADTjLamIqFFLxlWLCr4wD5eXuu7SuNaKTUEaAIEbtrLahmBN2pu1XvOi7QpmkwI1Y8KR0OpWLcvgLq4qgKkwiLboHbmmPDvV+fZj7+NeMqXto43Pj3qzbnZ4dmNLGQB2EOttUxZQ4+28rcZYIHx7e+u6aBDylltrCIaIgDC3Op5PJe/Pz89vt6safNy3YRiu605izs/vWIpzZnk8vLO1yrquqrXUJOjn1+356SOaqAQA0LuQ9jnNqyhVVTvYvh/u99u2rTFGKc1Hf3ZjrdWSba3VaozxYJDXloVL2h1ZshQHu21bDIMiXO83E02wLq0Lgq1eydNe1nVbOu+ez2Pa9vl6/znQoJWny6XWusyzqhpDWiWXqlKL1GkaLFlpjUBzmqOLxrpS6iG3Q6B1SdZaLjl4n5b7u3cvnz9/9tHlwmJIvd1rUVYi++7p3f16swZKKXZddmdDCJ0joyxp20RAFKy1SJRSAmsGP/7il798eXp/zJsx9gocvBMBVnHOGArOu1bBWlupDkNvAikpWgQDAKQIR6AAOYAG3nsiKrk550rj2PstJ2ti2outHoSONr9JA9VS2KIj5w6MOphoYtzXNAz+p5++dtCe+meRnSvv2+ZJFUFEFGG+3X3oc1ERW1pDsgYcGMtcGxsGtUohjmCBEdCGllEURFW0BFNG3L67DFz1oSwkpbQY47I8rLUCYJAOl0+t7eX5/VWuXdeJtNQaEVnjSimtsXdqrW3C395evfdbToLgYlDVklmWHUnWdXXG5lRDCDXX6XTeE5VWzuenJuysDf1Yc5nGXrha66VxCGHb1lprjPGnn3465MPe+5KLMeawfHnvvffr+rM+X4TJupwzAnRddyD8ITgwkLf9KN7W0bKlPaeu78cY9m07csIA9THfh2HYtq3runVdHSEpiEr0oTZ2zq7zbF00xs/r8vx8uT3WmjcAOhx5xy8jVbquI6KtzNfrVREONINBW1XrtJTCnPOWow9y0E7Wun1PysrWjnHgAMxs0JbSAAUNMfN0Of/Br38tDMfbIEREBAKWJtoMWSJEhLRXZ8OKmUnIUOiMGhFEMqgASMrMpai1VrWhgneu1kqAYEEB3t7ezOBD7QI4Iiy1kmEAZAIQhqrkbNfR9roZxsNybo0HoPn+EBFkQMVtLaTcVAyAcSSSai45CbqhMhg/IYaSkZV9F2085VaMumGIc/pBhcB2TTKqwn4bA3zfP/3w0xKnl7d1eX5+XvekSECGQC0R17Isy/l8aa3FGFNKiHpo6Qnr+/fvEYmbHn+0KswlE9F4mtZ96/v+fD7fbm/GIigJo/eh1qaqrYmxfopx3YvKz3ZkIrvtpYvjvu/OOeudFXvEj3369Ok4kQDgj7A8kUNC+eXLF0Q0zjOzih76doSfY3YENOdcCwdLNedW5fR8NrWYZox3YGzX9yXnEJxzFsAy176PqtJ1gVOzZAAQAKLzXRevKXvvS8neutZa53xVZtbGWKoao7XWvu+3bSulBG9Kq6qac/VdFAZn+z2lnOt5uggDkXXOxBhtF89jP6zrCuoE3fPLeZ7nn758eX73sm7beBr7cHFdXHOZTr1zRhUMwr6kYANZgEZcmyJAQyKbS6sKTNU7wwasI1VFAyKCBgxRScVa2wWbs27LCkBowKMdp96ZWHKO6HKqxngfAwME56WwsgTy2CClrKoC6Jwve1JmLbrvSWohYAPADVSQERmkjy6vi5EtECiqNV50Rg++H7O2mmdRy4pJxPbRxOd1n0O4QG61JGyLWb9cnsY/nJ7+TnSautyyC742qbXlbX2aJgAKIaa9cLufz+dcduZ2Op2stcu83e/3GDsEc71e+1PfWtNDnNZHRWTVlLbjRkLwac9PT08AO1gx1rZSKwOhzVqX+ZpUX86XtG61Zuftnna+M2h9eT4fFra/+Zu/O/CpIwCiCg+n6Xq9+hiYOYRwmJtbLkd9EZFh6FzwP/zwW+ssITK3aRhf376RMdaaeZ6Hd+9z4n3L59N4pI9sW8q5qmrfD+j0mFtyToompRxCtNaqyrIsyvVyfilaG8rCoorbXlWao9pKnYbx+njtu0EFXIit6jCN9/vdOHMKwToDggQIAIhquxBrrSH8zDQSURN5enqqNbPU+/0t+fa4L/flPj1FtEartiYxxpQyAYqAMBFRrSDMjVVArSMTDIAookiTokcSEwGhgdaaoikpl1KGOIFK2esvf/nLf/3/+Dfnd8/rfQmnURUEgHwACwTGqJGiUrkK7yWf4ySlHbq1YKluGVvb9xVgCxGcDUWton1sa0ub9WSgCTYbAlhbuJa6xWEMsX+9F98PmeX+WL2CMUPec4/B2tEZE4jTvggbHzxya1VNwK7rVCRaMw7DbX70fY9gUipH/AsRHs6hf6JDDjcj8M+Wj/PpZL293+8lpX44iTZjXM6VmVl+zqva97Tum/e+Cn///fdvb28N9LHcO+sJ/eNxdd4IVm8pl53Zv719O3IGjqv8GKhzzjHGw8i2ruvh9Ni27XQaS84AkFJKJadUnCISnk5nZyxrYxBr7XO81FRKKsqKiADUmnTdYI1rrRG6VDZmBgKyptZGYFmAcnncb+dxUtLr466CBkzm6oL31uzbZpCm0xCd31LMrbbWnoa+tL2UFKPf89oAiMn7uN1nETG/b6Tatm2HiXtLe64FSQGl1t33tnDKbbver0Sg3FQV0ShDK6xiVJwIqVhuMM97ztVYG4ITYQDhVlDFGOyOWEoDv9cLovfekVEGaWqQvn35Qqj7Y0nznvcCAiKqCE1EScmiMUjWoAGRlnOJoTfGlH0raYsGX3/4wYq0PZdtX9dMLiJ5NDZzaVIFsgt2GLtxPC6BFqLd9kfK87Y/WiusJldIBfrhuZakSFvl2322IE4ypyWSJeGypbRlqWKtvb1djwvu0AIfIyezHMVm33ciOizCIYTL5RKs08b7vhPg2A8EWFtSFedcjPFyuRzhFwLahI2xzvkQwu32xly3bUHULSfrjbGIyNZha9V777yZ55mI9n3nJoi4rusBcM7zfLvdjsinwyl+9CEHhlVK29ZEaJ1zzNqqiICz1pEhYWiMCgaJFEppzNqalFyv1/s876W0veQtp3lb520ma3IpuZZSypGusywLGQOE4Exl9t5u2+a9NRZJVVWUjHNhmqbz+ey9E+Gck3UUowfQr18/hz5Mpz5ET0eUT9/3/TiIyNvbm4gc+NY4dYgaogPQ0nLjSkTGoKruWyF1NYsw1gJ5b8p0xLGeziMieEPW0cGIEACXTASIaAwNw4AIzBxCZwC9sQjy4d07YHHGL7fH+li3LQlDayXXUloDgCpcSjbGHE33IQT23qHKvi7Rmm8//dhKSilVhi6OSJZVydsKDb0JXWRQBh1O0/36env99rjfQGtrVVUF1LtoyBvypWwVhAnE4Lpcn07BQbEAnEvLpQtBRFTw0Bwdz8k0Tff7vRY+oqzmeT4oSiI6QpFQQVn62J3HKa0bsKiqSAOAPa0iDUkPakoFQSn4rlVprR2Rpc5ZBWGprTVr6fJyCcE5Mts878s6DYMBHGIXnGMR61w/DKL6/PIyjCOLnE6nQ253oIwHrdp3o7Xe+0hkD9n/oROopQhzSklZpn6IvmPWnHMMXWsSQhdD/7gvuRYBnU4nHwM5S84qYd6Tqt7vd0RkUEEowsZiKeU4fCJMBsjAEYdNRNu+Ni6lboANgEVLlTSdelE+LKC2pMV3MZdmTUCFD59eQJl06Ia47cu8LITkjPl//et/0/vhX/zVP9vvyQhJFmscIi3Lam1MSRRabYxUQA04h04BwRpSVSWjAAqgqORsbTU679Vy5azNgYVGYTCffvnh2w/XYIeQo91dM+K9ZayCvPJu1KK1aU1xGlqWxz4H687vei1rywwwj7G0LIat66f7/IDm1xlQXOetNbSLDKErWTojzpTrt991w+X2yKdn17TYXH10FdwtV7EvUl+Bs/c0GT+mn34xdVefXz+e/vpW7/t12Wp3uSCSA0zLw1k0kEHxfBn3nAgdqNm23XjnQpelpVJut1uMkax5PB5qTFIBa4swGbXBdl3/uK8EgojOGxF0zhkTj9ocfKxYidUAllJUURu2LFUEEWuurCgKaI3vAqcMSG+PrQqaVrve87Lv25uI1CyPdT1NL2AsGvPD27cYo/GR0NWSyCjXal0golJT3wVukrhCsNaC936d1+d3L4/7hoDehymcUtq3+9Z1oawJlLy1HL0CnJ7fOece6zIMEwCw4DSN+/YgoqagaLe1AjCqEpqy5SmOR26mcZ4MkhRVLS2nsnvvKdWChgR0XdemIAKfP39NZX+9vm37vu8550xkleXrT18fr5tUbE2gaWut5gIopZRS0rbOhOCD6/oAKEd2CiKyyjFjKjCiCnAITkFdQBvIGG2SlVqt7cOHD8/Pz2nbkEWqaFMA8t4TWQVyzilq7DoyxsXAKsyMioZc3/eWaN/3kra87WnbuYp3nfMdkjNh8HEQpdak78dlWZiZAJf7g4iaaCpVgBgNgy2CoqY2ECVr/bbORoQkv2vffm3v/4N3/J9/hF8Mbbl9vu/bWnJRnk4X6928rtu2SKu1FuY2DH3f90fITN/H45o6APzW2iEH6boh52qMc84xV+cMolprrDUinNJ+v99aq8syH7EOh70YwczzWkpTweCHvh+J7Die+r4fhqGUQkTW2mHoiPDI/+j7/nQ6NZHDkUwEzHyeTspgjT9AhrSXIzX3yHoZx1FVl2U55AE/DyetXS4n5w7lMZKB36e6ln/SHx0qBedcCOHt7W3btlbrep+5tvv9fjhhKvOhXD7gp5/zHJlfv3xt6cj54vN0QoXb11cb+44FyHmUdr/Nu6Wv396G8TScpi9fvgCSITf0kzKe41kKcCtD31MwKSVhDs4KGtdbY4Zlv5+nE6rAIeQ+4Cj8WSJuHaqqASLFypXQCrDxqAAkCITWuRj7Uj6neQenXTdKUTxUDtZZhoQiIK0WH13bLQqqakkJBVEFWbgxoi73ZRr8tqWqxscp1ZJLxW5AcqU0RDSo674idjvn9fpG/amrFY1461vNWqVWCIjgLbBYbXVZn7p1MmVyw4N78+EDfNPPDApovVvyvs6L88Y55whFSJZGRCntl8uTOTYiMI/juKU9Dv1tmQNgE7EUutCt8zoNk3Db1oWIYhfXbRnHcZkXa5BbOQxMzrl1XadpYjLjONSW05ZLqTnncRwJjaj88LsfWYXz1k/j4eHJ+4wK87Z2cQCAdV2n8XKcoX3l1pozvrVqDRIIEVmL1tpa67ZtwodR5Jjc4Gd6LBXRJiIhum1vaLDWZoxZ901ZgFytdV3XVEvO2VgrqsTqAjJjCBEJnPUsu/f+oItExJBFIAQ6mvXH47Gui5bmyI79ZEvl/tRbRdHtfHkxKr/+VddNUy7tdH7HBTrqB9f/8g9++Sff/zFmDT5CQyJwlgyBcWbPZRwGVu6NCT0ZC+gREMBorruPgcgYIQCutVWunjw4FQOEwCCWqObqHeZ7Ok2dQ1h++pb2EDqv576A2I4UYM+l60OWdmtpMn3sw3J/1HVfr69Ry3p/07YTyzovjbKREbC67qm2Nbh+T7MR11Hc1+V2/Zr2RZnnbU3YwHVG6It+jgFPA7U0u9zSWp6mUFgRAGX//v14e7s7eAvw9s4YO1X34fv/+3/8MT/9qjYhAjUEikMMNRdEfX5+Zua+j/P8ENBSyrvzcyo51dL2xq2lfe/7ft+yKiKYr1+/DkP39evXo1kEgNfX167r/ukWstYRGW7t65drF/1Rq1qT0+mssOTCComI0Nh1vl4uF4fKrTgUawMAoMpjWb11MfZdCHnfT+fpfn0YFYfSUCyRH4Zaq3MgIo/HI4Tgj1jtGNAAAA5dqDXnki2ZEM1juaeyt1LJYDC+7wdVZKhx6I1xqmrcz+F7rRRLRrmVmi+Xy5fXb6C4pPVyfnp9fX16evr67fUIdRridL8+AGAIvXOmjx0AWEZSgFwbKyKgC8G5sGx5iMO2pUhRC378xcdffvilFCFrQLBwweBElblRsP3Q1Vaq1Ng7IGFtKNYY+qdHRBUFwCA6561VaYpEZBHRqOKhqKh7UVJupe/8vqbmcJ/3NptwCWkvW+KzQQEAQ8M0QtIqFRFrTpaw7RmBLXBpO2JpNW2rxt7tzH037ulexQJra63WylKc4QK1c/h43NVWSzZx3axu90qQT1KcD6msrexnQzEG1GbGp5I3b8QbGGX9iI+/fNL/lkupjYmi9865x2NDFSDTdV3w3fVxF1EF8C4Y726Px1GHnp+fjxstbQszn89n51xK+3k8gwAS1Fy4tmZqjPGIYCFr13WbpnMprZW6l9x1Xdd1RzJ/jPHIt0JEH6wC3+/X4O3RSBxB60eC+DSNLZdpGJXFG3LdQKRNivejiABIa3KQ5t77IwFpWVZFMcYoS9d1fR9rLiG4JnWappzTMs99N1RhbarER1ZeE44xbi2jcOYm+9r3Ppju2/XbMAzM3JqxzkzTNM/rOJ5aa9Z4ARWW4PxwmZQrALZWqO/7fjoJ6GNeVTHnao236AldH07e9n/667/4g0+/ihiCc9EHAUaLVRtjUxQyBkiNN8aDC8b3P0eyCMKRdQ0AYH42AYhArVy5sUprrYkqIRoyjnx0wxj76N6/O7UtYdGWKolVgZoF4Bi2wEdynRejxlnrDXMVrgg8DR1oIWz7fEXhWjOzWh+XVJqaqnpEuOey17aTYe80OLJay3rNy423Rete9iWvD7Im17rmAmhzq0QkKE9Pg/fWOO9Cjy31df6zs6GWAoFDCCH03dCqeB+t8aDEzIhkjImxz7l+/vz5uCiPHNBSSmvt+fnpcjkzt1KyMXaaTl3Xl9L6fhzHkyoCkDEOgP4JDVDVrhuGfiK0SMQip8vkgo197IZumIZxHL23Qx877/suOOeEobQqoCp4tMIA+njcnTUvT5cuWtD2mK/zcmP5GS876APnXCnlSOM/pBu11pR2Ud72FQBqLYDy4dP7nPPlcjk9XY51GmTNNE2AeIT2oDNg4PBsjeOYcy57OoDYI4D8CKLa972y5spN+LHMR4c6z6td9g2vVxEYx5GAog+tsTUu+CGX/HR+9yd/9KdnNzrjo3eM4Iwt2sioEUPBOY+5AmszjkwwTVhJyVoAEGnWu4PhUEVVAtAj1p/QyuErB0uIlZlQjCN04JwtqYTG622hdezG0QVHFpU3ESYyh+sq9P6+7s7Szu36+qVry7rNFtSQiraciwtWjFNQY6wfhrKtXFurGUAQJHq35Gy1okhab9hqKWSxDBH3PSOyQ6xNojFbzT35unxxxlSRKtYbam0fyAWa8r4hmOn5UpuCMTlVAdj3dCyOEQbnMYQueDqOV86ZmS1SLlm88cE2LgDETe/b3HUdN4nBxtAd+LSxFpT3fR+GUZgAlJkRDRHUWn2wiHi/3/u+a1z2lADAIPSdr7V+fXs7nV+sC4e83xnYtk1KBYDg3Dzfb/dvxoCxGmO0LrYmztjX11eWaq1tVY7M0eM3//btW0rpcjkfb+0xz6WUxiWltD52Y1zXDYhonD0K077vqsjM5ImcW3Mi0JbTaThhh/d1aSk95vn5+R2hJ2PI2lwLIq57tgRWg4LEGK3zQ6kSnM978pG8aaF3ae2euvOv//g3n14+RnHRdySaJVvnwJIRWvM8TVNrzRIANu9JAICUnOWqSowGQElFAcAAokEGoQN1KggEpbToQxPmytqEAb0lceJ67DvZX789hQ7uUDoOzwZbIzcAYdLmR0TCettNtNZ4rrn3pq4Lp0eDhiZV8LELjXPeKhooXIZpVCvWKhdQVWnVuzYM7W3egjK0GdrClcQYtWMD9eSYs+kQIAOTMcMjASpIQ3Khi1Nd57p8/c9Oz/8Wwj/U0NYa87e2r3eNH6YLIgpgF6eUSh8nS2XP2zSd7vd7yxVBTXAkbIyxxud0D4EUwAcLKMN0OvbOAILx2LSkkkTaMrdpmpy1ROH123Ucx84OjfOeHzGQyCbczpdxvj+MtaXUddlfnj8u614LR7LM4tG3xLVV56waeOTFWqpbfn6+CLnUgBtaYwAtoHKDBvt5OjlnHvc9xi7XIiKt8X5s/KFmHSHYsevP00VUhWqtVaHlsnjvxz5sa+58UDBQMbgOUM7PJ2287Wsfx33ff/0HvwGAQ47YdxYaOeeWfQMDK6fDymxfBn993Cvv3338sNy3UgjR/fO/+MsP7z4+nZ5QFBtZg8yqVVkaF0g1xT4iorUkwsb9nG6HCIhgra1cDsvBQWMcvRca+v9PDJTfyyB+/jbCJmzJkLV9388/va3z7Btjg7JXqyqWSFEV0RCQkDWtNUAZx35dgGvpfFi3bMB0IQiAJXO/P4wjIKy+RB8ViwDGbmilNtBlX7zFEOJWRcitSwWW7XEzEexgjTC3aqM9LAaoiIjG2G3bGEzJrR8nKNupGwcbMqtS+MPffP+3v/0GBqbT+X6/hxCYeRz76zUz88H3qCqozvN8YPJrWs/nszGmlHqEACtD3/cpbUfQ5rIs0zQxV2autao0kd1YFG25imgZx3EYut/+7u8BYJ0XbKLCZMyHd+/QBGvClvYwnFB0me/YqgFGAG5pHC5EMLz4dVtIceyGdd72PR8EigKnvczrw1rLjCmlZVufnp6OWf7xeHhvrCWuzTmXajs+WVU15I5cE2/bkeV0vKBoqyUb4FzSQbYx80HDHjiXc25LG6B4Swy672kYBiJDytJ5F6Pf0+xcEHBdeP6Dj7+4DGdg6brY914tCDQBqVKNN6fzaB2Vko7wEyIia9rPmY6g+LOUxlrrvcPff/3/zqLqQRlbSyJiEFV+D0gBkHVPT0/O2Lxt+7xcv74t11Ur5dxyU1A6fiIzH3W5loII0pqyaC0k6q1BFqktOl9S5drKXlTMvCRGq8aj8w20H4cYwdn2dOqeTmGIqHVraU7bUrZFpagyIrTWjPXOdiC4r9u+7ttWUGhbc5DcE1/6rrVmfA9ovXMppZ9++mHf18fjhqhvb99CcN46VODaCJBFfAgp533fU0r3+/1YtHJsCwHEr9++KVATfrveWYWsacJ7TopADhX1/HRa9+VIg0fE19fXgwschqELnTO+64bTdNm39Hg8ai7z7X6/vSHXj09nRG5SxaDrOnLehP756X3O+fb6prWgNUccpLUmRo+oMfoDRR/H8Xa7AcDtdjsUfcdHNs/z0Wse09VxIg/c9KD9QNlZspaOdBNr7ZHMf3zD6XQSkW3bfvvb31pLx08EkBh7FhBFUhdMGJnCnuTb59e//MM/+5/9F/+T5+kcrem8azk/9hmcmsHazvghNM0MrCihc86TcVRrUWUFRkto4Ih3CwclqHDAv0ex/KfYbxEhopSKQaOCKAqCYGwGZm9ePn14+XDJj1v6+jaIgwVwNXmDfW55bdwgJ3693hmUVZ0zteUuhJJWbw0h1+1hoIIUC9qFI+/NzOuu6gDD3khttLHvzs/GQeN96iBA6k2NWEeHFhtwskZUkjXoYne9L7WqtX3sRuuCCjl/sjR9N/oXU/Lnv/V1I7Rfv926riNr0NDpchZtQxeWx1W5cKkHpnE8qCJCzhZucRhOT0/9NO25utDFfnx5ef/09AIAhLbvexW0xo/jyblwbDQ8EFbnrKKgoT2nZVkMGgLa172R3VpxXfzh64/bep2CcZLOt3/8lxfzX/7R++3v/53PyxgcKLGUzHt/6r89bqlVE0iNaE0IzRpUFm+dJQeqXTd4H5n1fH6a5zWGPvjOORd8NwwTogFF53zO5X5/HFTCNE2Xy4mlzfN9GIJIQeHT0JecpPHz5enDh3fTNLRWluXR2oHNXRDEEDjnxq4fp/O7dx987Ki8/T3l2/L1x4jm19/94q/+7C/OY4cWXXTHv7HvUsm5tMOZGfswTs45aywCCIBab0wwqgwgiEoWfz8Y6XHjH+Xhn26BI3b1UDC01lTkMAmoKiBWBXDqoi959cL1tng2njE9GjXbds27tMJjnMpeRA2g6cdTPw7TZWLJtSbSxHnhvAZPBEoGVBqI1Fr3wkCusiHqcm6KBsE8Ho8xxs5RDOSsnvoQg4GWhz4csiA4fCdIihRin4sYG0UNVXkf/EcPF9NK3kUk5axovI/WWhWc51lZSsrGmOfz5Tig+76nWkopl8vTcZ8cM/Lj8TDG3Je5cBOkLacqgtbcl3nPNXSDCx2QE8SmqkTztqa0W2uHYUBEUDoNp5xz13Xr8jBSLg5HTueW/8s//014+3F8fP6Vqx9NPvEy8uJkC8C//du/sQasNSINkWvZvaN9m/O6kFIgX5Z6/BEO4cs4jsfHx6w//fTTUfuPdo6ZWxMi03XdsROWmZFAuXXBj9Pw29/9IxEdrv9DxXIgBkcQMx0b/sB0IaaUSkn3+bbvK53nv5Yf/tsxXe2y/Bf/yX/68nxBEvIopOTNmncFUCDjvAADKVrDcGypYkRVFO/9sf3j2NZ3+LuPC73WdpzUn88fAAD8fC5Vf46OJ0Iwx4dHzqOhrLUfQ4j27fNPuu+BYfuWsZq8NlJf15q2YtBLQzC2NFBEJTVWn95N7z9dLEkM5IyWvIFUR2gtcS2gWnPJRQhdrUIYc9HD372uK3MdunA+T95R58zzZQKtqoxAiMbGznU9+aDGMuK8JFZrwA0G30eYdLWamzYbO2NCZS2lWetV8Pn5pdbmjL1er5/efziW2RljBJRF9pTmZVm31A299UEAc66ttXH8WZh8AD0ACGrevXxEMM6GI9J1nHpy9pjQ9UBJiDrj2pZsaaEUevs65eVffnh5Z/17g/769c8n+2798jT/8Au5yutns9x7qLhvUNM6X53BzpEnHYJ/fjoTozdesjwej2N/yHHvHa5rVf3uu+9CCNyOjk6D7w4i92i47/e7c85au+9rStuPP/7u+fkCICGEQ+iTc/727dvhf395eYkxIhgU3PccYz+dhtZK02bdj/96dO9blP703Z/+4R+lKjZ48sTMRGCDq6nWqkRi3M+BIikxajVI3nsGPMqkQDsEoAhQa0NUIsLfVwgi4mMzBlHlI19EW62IVli5MqqRxnqYrxz0p+5yGbei+zLTWx/Ol1aM97YVIUGjDpWCibncydoG4Aj6sRu7YU/L/fZacy2CTdmG+LjfKoh3nYikkhpT29Nl8tu6bEmc9cwSQqi5kLFoTWd6ZxvoFmMkKgDgQ9xzFSAfIwAVEbJdY3LGN2m/+fAES9tm3JHQ0ON1Hsa+VSEibbyuO4DUkoBAVU+n05JXa+0BlrXWhmESkdfX19Z+TviIMeScz+eztabvh3EcfvrxFRHXdX///v3nzz8aY5z1ZIC5iche8vt3zyjITQOaYGxEzfv+y2n8Rd/z65e/+y13kB/Lj7/4OH2HKzi9pvRq3xtLe2PxrqoupS1v19NlKmkf+7GWVkuz4LwN3hARBWcPmAwAaq3GOmb2LlgkPlbtONeFPpe1lNx1Xc3FOZNzPV+mZd6madqWdRzHfc/bvIB3Rz8aQliW5RibOtuP4/jl9RuQnnvPUskY+xtOX/N//235+s//h/9jcA488LRaGZBN2jJaJiMBsfPICEpCAKKsqmy0OdVSQch6V5mUQUABGVUR0CAhIQC1Y6IH0KMagwFFVCVAW5GACBkrSuGyN2na+Yjfj++wvP72evv2VrPtFyAeoILrfei8khNptgstOYt9kJe9XF8+nAazf/7HZejtsiQVQCAuK7Y8BL+WAiAWxEpDyNu6K7RTJAIjrZWUp+CcAUNNqQxd19j1nXO2oQEA8GHshy7num7JdydUz62p2JM1Z1suQ4U9/Q5eviqNl6GzaqABYNNRmpZtLk1cdN+ub84brkUbdz7Ot9ex88GBMOVc3j+dS26G9H6/iQh1MW/AzMt97ga/LEvXdW/Xz9EBc9mXWTrnwBvbe9T5dfMBrOGwZ58l5PQrh/mHf/xRkNAj+POHl5fnZ6D57Nt8vw57/VOhlAHCFCf39fXxn/xn/+If//Hvf5jfPj0/P3UqphbTtvaWXPuRgVspGdAPFSOI9MP4WH7sulBKEWtD6FRry02MIpoudD64Od8dkAvBICnL8ticDcwAAN0UahPvwv0+b3Max36bF1Ve6b7PG5AC0JefPisKCNOP1x+Wim76hN0TEFgPHrojQPDQ0h5a18rHjhwClGOIc84REVoi93PsIKsQAYuABbKoKMKs8nPrSfTz6Hdc7so/b11KJTGoouRW3+5vqex26sOp++43v/qDP/616/ye5m2fjUJnfWtty/Wxr0vaU6sNSI0N49RP566ftsLGhEN+iiqWJDiKh16Hq5TkCaExKqpi3RuhQ7TOxhg7F3yWZjtnrU0lD8NUqljflYrrzoAW0KfcLs/vQY0iGetiH7y3zqB3+Kv3l1FT+fYP2rQUEXVv9+XQIB9cGnM9wmcOX/K2baHrFHHZUhUmZ5d9u82Pt9v1+d2LIhx90ZEXYo1x1grzuq6iWCqHOAoTKzyfLyLtEv2kclb8Vd/B/Q3W5dtvf9QCreI0vF8LKHV//pf/8nrbFMx4ehKB37x7fnGGlse3/+7/c+L67/+v/2dzfftz63+Ry/Dla/f529M8X27XP0T8M4+/hva98rQ/nrWEssD89QxG5w1zcUje+z2VfjqlvDFXY6nzjvO2LbealrQXop/nkOPTf9yXfU2P+90gTcNokFqtadu1KZd6RA34GOZl21K2Es/Pv/gX0x/9T8+//HMJYA0AEINULt6GyowOEcGocfFIRzKire87VRA5lhM3Y4wSElJrzVgjCAJgAI4tYwbNcSiZ+RA9gsixw0EJjDFcG4CrXAU09J2bgiAgwfn9y/T85acf32S7nttLybliM84TkbG+qZphomLbzgVj0cbqm/rzdElbfsxrg5xZ1HlDDoW1lMLGGDRKrTGBE2FrrbDUJtPTSVYezqf59XPXdYA4ns4KQga7LjR1W9bQP6esCj64HqSltBGb2PnBkXlc/+zlvbT1b8EKwl5lOn90FgzCktOxW7HruiOaeZqmfd+ZlVl+z/hZ51zK2+k05VaNd8a7zodjQxzUBsygehomBiXnBMzgfa01p43L7tHStmDN+7r6ZXVAhijtJTdI9fH5evv+F7/+f/+Hf3isLQZMyyJMf/8f/npZM7l+in358uN56ELa8uPmYvAA6XGfl0fm5kNcFXx/iiY+v/+OjZ6DATS5ilgnNsxpa8Jlfeg0OWeIqOXyyHno+larR1sQBJRrtVaxQjf0ofPrvHkfhKGU4r09mlpt6JwzaK21257F4O3+sO7jf/M/+q//d/Dy5/sYm6meFNgqqYsORMkDWEIlRBQDIlK5Bu/159V6zRgkgmVZLu/OtaCIGiR0KiJIppTU9662aq2vKR39vnJ1zqEAGlOVa23D0EvBwP0gaju7ICCCGgoe/+hPf5PT/vnL1+vn6cmhGaI09jEaImtMViDjhdWfP1a5r8WBO+XyW+dMdLIsD+9jKilXgl3yvCGaY3jMZR2GYZhOiOp6c7lMxrXh0g9jBN0P8+GScoyxH6fpfKZgrm93VbDWk/Nfr49pmoiOEbB6pD/7NGAfL7b87q+/xnffXRvlxttyj97Z4F/eXZZt/enzZ++98W45At7RTNPkENd1tQBFuJtG8m7et66LOWdmOZBmTpsB7UJc1tX+f5n6s19b1yw/ExpjvO3XzWZ1e629z4nTRZMZEZnptLNcZbuMMMYYY1EFRkhclhASAqmA/wMJkLjmghvgoqAKFQV2Fa6GKpy2lZmOzOgjTn/23muvdjZf8/bv4GIeW6y7ue5m9833G+P3ex5lg0/UaJ59Xabrs/XKErz9xpYqQqTstro57I92s90tMZF+vNtvzi9/+fnt55/5l1ftPB+//OwWoH74yXf1HFyIi0unO9Qc45IjJ26NDhK2r65ta/70J3/+8vLF27fffPDRD/sqf/uz3/T9cHl5uRn06OLj/PTBqg+aL7Pwu3erF6+EEPOyOOdZyb7fOOe4ZgBoWnvqwOSStNZdu6q1xuBO2RGtbIwxZyDiZVkK8G63cylmQPnqh39fDN8vaovIQlCFSIIlCSlFSlmAwHqi9CIQIwIxAnFl/HZUhJRSQsY0V2WoFFUDCyGgQK2spakVpD5dq3StteaitVFE9VRFVmzIcMVck+m0VCr6yLmQECFkzJWZu64pOQikkjKVsu5771OsmSo0uolhbJshl1lAUe1qng7DZhv8bKzwSzqtDWKm/fNxmhYiIZUK83FYrxQRQZZCYuVSijaqbfXZ2SbMj03fMX0rfVxCsCVfbc8fdnshZC4sRF1thnme17bFmmOMUPL52Sbl8czWDzbizfyM+synODQmx6Sa9vbuHQI1TRdCGNYrgIkZm7YtpYSYbdPZRnvvZ7ekkpRShdk0zeF5v1mvT5MjbU0IYRiGw3jsWysl9kg5wfL6Kzg+N96rXEThlIsgLijfvLtrz8/evnlWzTbEYmwDBB999P23n/1Tks0wdHOsoAxUGGwXYzzOkzGmt41f3LQkzuxK2AzrP/zdH3+9e1Zdb5r+5z//BQcxv3sWk29f9iXM5w0ZDiEnjEvTrr5ZxsM4CSk5JdkN47SkWoxRjdI+OC2RCStgYTgNcFLJuabjOOVcc6pShcXPiIwSnZsrCaElvfrhX4O+JwtSFypQKzFBrqUCo0ApZcWKEkFx5lyxkoDKXGs++eYFCqwABR5uH9iDYCEqYkLJEjMpqZCBhABBBChJSCmJ4ZS0XZY515JzBmJjVczJp1gF+NH5JYUlBJ9yTFbrVislaLtedU1bEkAugpEqu2WRKJ2LpJs51FiBlc1cu83KaKEVU3Gi5BqcP+7SfExuLtFJAX1nGyu71qyG9ubllUD23ltrYyrWWts0TduWWofNcPniIuawP+5ICKGk6VqSstaMyAKp64b1elsrLNPBamFV/c4WVR6BgxC4XvVN0zDIkwxTSp0rPTw8CamF1Ke3ipEqsPOehOiH4SSv9jGcmj3LsuScQ4qnsaKQCFy0QCipTk9bWfPdN9eCTAzVB2ael9wN5/PilVLrYXVzed4occIWXJ1f/sVPfu5C2Z69mOZUU64pasIancJ6fXPVdnbcPW/6DkoloBzL7Te3y+RX6+3Vy/ff3D2apnMhFC4Pzw+3b18Lrh+8uPrD732kjwdz2J/F+INWvsTwgnKfprzsc5hyCcwohMg51lqbxmitEYXUFgQpaya3ZK6plsM0zsEvYdmP+8Nxj8SlphwTmYvzJFOhscQdMhEqJHEaJSBi4W+bVgDAVIVEodQJwVCAa61hcSlkJbQSuiQusbo5un2adz6FUjIwc4rxtD75dg4qvy3TSSlrLUDMhKkCCmo6Q0SiyuhicDG4CJVLiliZmWsuflmWca6ZsVTMtaScQkSSSlsWQptOSAVSpRKVEtu+b7WSWJJbSgyNleuhOdusr68uht5uN72WQgnqGguVm6aZpuV4PA6rlXPu+flZKGLiFy9ffPiDT1bb9cWLi3bobaMBK0phWiOQvPen1d8S/O7pYRoPqhx7y5xC19j9fo+I3TAgEDMyCmtbRGFtexooppROPsUTuNU5Z5pGa42ClNHee0Tsug6kOv0HoLbWEGSCjGG6sPL71y/48KxKEQzHaUkRvvziG6W0tTbMx6vtymJprb19/aaUklMVpEmo84sXGEMcj8+3rzG63qgw7Te9bS+61dV250cHuSqx1BSoPD08/zv/zv/4/vbd7e1dIX7vk/dAlpAhpPz27dtf//JXx9uHNYjx9a14+uZ9Xd/v6LoRvShGVSWyc+7h8X4YhuNxb639V2P/cRy99/M8n2S4Wpv98SC0qlArFOZKgOt+wPEXk2mNMOhLNL0mQ4xwKhyeMrAn8m+tVaAspSoSOVcsWCswswKRUjFCxZCqKwJEKTztQinFWr06b2mArAoq5ioIMIakSOacUApmDjEhilqIPVARkvHhbgeBS4wKCWuBkmNwMcbguVmvEohMEoVURlltaphyyILIQqC4x3T082O5/0Wcb9P4Fubn6XkqBb/44otMuulaJNpeXWy326ZplBKISIJddC4sm8szIur6QUF8eHionEMIuu2GzcXm8lJKIq5IvEzu3ev77ebqOLnL8/Np3CP7lCatqm0tAPz66e2+//hP7sHZi5LZKNGutinWw2F/2lDY1pxK3razKZUc8jzPN9cXizsCFGtbrc39/T0zSyIjiATEQrwEyJlFGlrRhMCPz/TVpxebtazcKP387liq1LYrkhCx1kyioCo373/y0198tl1dEypR5dmwZnc3T68v1sb7x9PqvNZKirxfhnXvZ57nebPZ3r6777pmN+7Pz7cuQ0pFgmptN0+h79ePT7vgjjcvzu/eveGcuuFsCuX84qUQ4TuffHB/fytVvUvls0iPzUZgNy9TKSml0HYbH0phdPPYttaHpbWNVjL4aK19d7fPOSBla1TftMzY6E6SIiA8LZpyzlIpoG+XPadR6mlAQERQSUpCBqgspYoxKxIlFQDIuaaUEJAIBZAh7ZZ5HI/IdS17AYgE/tSpJ8hcMleNJ9aABcaYS3QZC6cCkKGmLFBIKXq7cvO4GoZpmsSgXEq1go9JW5Ik5mU0iDFGrrVw7BQZbfxz6YctwORHGPoVZ4wuGqPWq/Pzi6vj4myzRmnnWDZdl5LbDGsIpBqlBcUY3XhwnE7xASnsPJdKYXIPm8ub8+3aGv309Pp5SqwKg759HCUylKKVdu4Qc6ycDansQklKdzLUwihyqsfjQWt9UmdLLU5B9xgjZ25bq7VkLjlna5XLSwyuEXLTDcf5EDht1mfju3Hbr6gkt+xhnNjNh7evN6X2bTcfDnNYtG1zIUYCxpSqUooIAOEf/IN/8Ovf/O+kUNNh0cK+m9+dD6BVOy9u6FTX2d1+3zRNLFEI7Lu2ZpeSDMFbq4UQP/ju9755+8367Hw8jCWmkgND+fzLT9t+vdlslDTbzVk/dNPo3j2+M7q7f/ewWZ9rEPEwS6VrKAVLEL7UygjaNk9PTwyyVigl7A+LEAKb5rA/Wts+P++VkrYRStBq3Wmh3RKVtvQvnwyWUpRSWBlPow0ARBRSnvbFp5YClJpSOWU+JNK/mmydzgOnXnwqRVSBhdIY5nf7uks4AwSqnBGqMfrU+uNcoXDy1c2xJpCksyvFscUmu8SZEalWBqBl9nQaI5RSYhgam7yryVklAQhRCBDIlCLmTLbdFj0U1SbUzgeh5OkmYzWckdCbiytlO2z67vxK9Zvu/LJqpdvOtu3xsNNK5OCPx2PwvlaalyRFt3sKztHTLn/2xe7Pf/rl3f08Bz1HcQxCtFvQqyqaVAUpa5RZptmPLvmgSUBlgTjP7v7+4RQnU1oIic7Pxqp+aBtjbKOllID1xFMohU97QkUixZhiIZLjMp/2n1DZMBjn/ds3ehm7xnCpNZeuGyqRaiwak3MNIS2LPx6Wxg7/m//1/1aRCItLKUGtXdcraaSy6+1F29oXLy6VxLOz3ihaDy3n9N571wwJqSCUlGPTmI++84GkaAS3jdisWtvI/+X/6t/dj89Pz7vbh8clliXkJZZ+2MSc3nv1yfPD+MUvP63Bp3G0TNXlmPMSY4j5OM4+JEmqtY1t1Ha70VIuywIkpmlZ5ojIm9XaGNP3q5y4bVZcSSZOhgwIkFJGH0gKbRQLAgAhJX9LriJE5MLMKBALV6yIhFw4pQRAIAi/XXQioEwpGJAl6ocv3+y+uP3wRx90LzdqKyqyL5G5SJQ1VwSVQywFq0/xkN3e16VoUsvota5QMYkKXA/P+xgC5zIMaykkVe6s0Vq7sCRXsGINcZ4PosauIWClzFl7Vufn2zTtRMHZhZBYxViVtV1btZ2rBLDPD+P2vNWA15c397dfAsB8eDZCuGWqhYTAYXW5eJVjCYtJpeYUGqO8LyTOp9CeXd0EKbqV2ugyP3+N8e7u8aucA4MsMQmuULP3YbU6Gye33gzOzcyl71sUkHMEgHEcEbFr2sbKw27q246ZdRXnN1f7Zdq7+cX5AONU7o+NtaouKieVl+X1V12Yz9atjzn6WeAJl0D78QhCRp+NssaYzeqiH9r9bk4xv3x1cZ+fX7x44eaFlOasSqVp9F/Hr7dn67dvX//BH/7+4+Pj4XDoc7tZNfv92HZNzvXrbz5HRML4wQcffPbpl/cPI6ru3/8P/i/vvbr89WfvpofnkGBYDZcXL9r1RWub97bnt7dfXLy4WK3Ucjy2ELQLR1gF5xhpe35hTUIGJaWoyi1TjNG7qFVnTPvy1bUWtW1thrTf763pGJGkJlJ0Sr4LIbyPWioocLocAvP/f5qTGQVSrUCAIQQuzMyMcBIsp1pQEBIxwnDWNI1Zdb2J4vHT2y9/8tvjb9+hF5qNYSVRhhCJZM45+qSEVEIpEGHyx+fDspuNtG3bD/1Wtx0I2W/OVdMyipBKySxREYgT2I0YoJZas5EGSY4uxiq0XgnZkNAA4nAYx9mR0L5UYbuMOpNF3SfQzXAuTT9sru4ed6lUKaVAmqYjlEoMp/148CkVnJe4TIFYHvbueRd8bbrzD7F7Af1L2d90599575M/AGmVaYU0TPU4HzPmWIKU9Ly7d26RkgBgWZZlmay1Xde0rZUklJAx+Wkah2GYZ1cKF1eXw4glixr1tD+P03vFD+N97x77fBhff9ZB6bUBIiNVyVlLRQzBTa0VEmvTSiG+TWSWwsY007Q83N2/9+rVdDx+9dWXb9++tV2fMhs7PD1P/bC5fHG1vTj7vb/0+6++856UUipSipDz9qznGoZerdfrcTxIJVL0665Z5kPXyB//3u/4DI4hKf2nv/7s/jj/5Fe//emvfpakoNXm07fvYk6tFBdGilIUYc1pOh6YS9tZgDodx8Nun1I6KYy3Z2e2bZRSWssSk9YyRl9qMq2iwlVqgQinX21g5lJOv+9ACP8yaHwaYcK/RPudsNOllGmaSq0nJCUTFuBUy5Rm3argZnR5oPb1z7+8/+y2HCp6YM/IKKUExFMLUSIRIjALBpFBkxQoY0iF2bYmA5JUUhnbDDGx93GeF5LKNl3br2rNuUQpTtf3GlMugCHV/W5yS1pmPx4XRiVUw0JmIZdUpO1TFSRsiLWwLixdyIwSUeRatNZKSx+WkyrOxW+zEQzicbc87MOnXz8uZcDhfV59IPqrKNZPEz+OKbKqpHKFdtWrRnWblilvLtZSUtOacTykFEpJWut5Hh8fH0/8CCERETbr4bRmO+6OoiHM/gLqR1jb2y/V3WcvYPe+WJrju4ff/nnPoUVE4kQMpxQgICFLKBILVleqJ1G0BGvtV198PY/zJx9+klMkLC+uz/vBbs62dw/3BVibc+fpL376m7bf/OP/7D/92S9+TlKkEI+HaVmWvm/bVm/P+uP01K/WFYQQ4tXNCyXhkw/eP+weN538G3/tx0bBfty3fXf//NR0rWd+dvHN0Xu91t3WjdNl35RlMgCtsau+F1rE6Kf5kFJpmu58e3F9fd10tu0aKb9lSHVdRwRIlTExpFPFqSLCKaFdMyOB915Kqa3JKf2rM2itfMIM+ZCIMed8WszUWhmxlEKkvoVZWiwuS0IJ2Ml2Fu38PE/3s5GbairqbwUOXE+0Jow1L+MkSeSY0LALIfoiujZJQKFKScpYv4xSqhCCAZJCNW3nS+z6Js6OGNwy11qHYQ0COMfgQgpxPE4xZmtaRtTDkAHtepsYUoacKqE6HhfgqnWblqVr+6pp3D1E75QSIcUKmDlWlKnk++NjSsXHur76zsUHP4LuJqthXu5USZ3AtpI0rco9QRhutpcdff04Vrl+fr5vbZsqnb7Yq9Uq5WBMh4hCUs4ZQLdtW0qptXS2ybLOZV4T6OedfrqbPv3Jq48v0/6dwg7d3JYAKejmrJJwWI2AnLI1ppTUGKkUCZJjKUaLGtkYAwBCqGlczrfr/X5njM05j+O46prDcdJVte1mc6b+4qc/u3n/4rMvv7i6ukIHKcbVatV13dnFOub57/4bf/sf/Sf/7MXF1Wa9nY5HhPLqe5+0jXl8ehI5/c73Xv7ss7daE9ZSOYLoP3t963N6cd5DxRyLCRlLWXXtGPM8TwVYMobgVsO6aRqpBAA0TePcXCvoyvM8t50xSlQozCXnIEUjUywNq/AUtRZkCBSIKkUV4ECS4Mx5yjob4AIVSwXDTREoGWSFVlgpREylEBACCUCumO28xCCouVjn3eGivdFWLV8fDGg6MyAkakUEUsERUy0VQgqegexUSzi8UyXpvo3OmO5MSISCJddB65RKt1qZ1nZWawnMxBJTzdWFcJhQguxal3w87FRkniuGbJSsUifQIK+0WiGtK5qzyyFlZ42sac+AQhqQ7f54m92BUxFCxCUbs5pczDKOS6m4etjtozz/0V/7b199/GM1rI5POxEiuqi6MgefUCq8qTRmeW/w9oOLl/fZ3NZ2NwulG4yRuRDy0LfHYxYAxJxcsJ2OYVFctbZUQTSWuF41Z/LLX/lf/LPHt28+/sGN1ha9+ObpMRVcN11FAUJCSQ3gy6vr/fMOMgshUgoxLE1nw5haY8ac3z0+bbbbaRwhLXa9jrMTPP3wk5skeBzHwZ4rXVtRoz9u+83yNFk04Giax9V6DQD3T48uzavVqmlX11dnSonPv/ny7Ozi6urq5z/9867rLMSroUEQV3/lx/+fP/vZ3QwQyuWV9l33+vbd28JfjfNa8HdU81ffv3k9O9F3Din5WYBYNdelFC2kUUYIIbXKwXfrXlFbali8b7tNWuZxXnSnZXBRo46x+CWUIjrooH57BuXKwAAAMeTxaa4+XmzOBcvFLWrTgkIQp61mBQClFBYmIqFkJM7IqGVAMOsBBL27f9euXLx/HHDV2R6YUJHnSkjMyISZa3Gjrtk9PzDU7CZCboTwLnam1YV2T8cKxQkSeZEraY2yRopidnezAShx4sSzSKiplKBPe4hclZIVqG1WRQ/D2VXTnwdmaRoWAgUAmyW6JS0GmFA7l+Iy2UaRUIxkmm6ailL9tGSh2s3mKiVcXLIqFeCSPIRQShAYQKFVg+quhHKP01dTr0A307NnbEKK0zgOq45IHo+T1rqUmlJOKQolC5Bq2mmeEZhSUET58Y10x7NV98ObH0aogOLu6d7nokwTU7KtrbXGkBFACtWaZgojlyqEkJJS9B99/OHj09y2drcfC5vzixcp8nHxYVm2q/U4J8eZC2IqImWtVb8+f3qY2ubbgegwrE8alsl5QYqkfHraXd9c3d/f/+jHP/jyi6+lhD/4gx//5Cc/eXV9o9rN0/GrWjhHAAJX4ck5ZZpEFH1ohSEIS/B98JaItGJAI3usmApst5tTliOHLKUc2o5zzZQB8ZR/J0AhRK0gBaNgOlXfQgglZEJCCSllLTUApJhKStM0GyeOh93hfr+k8NEf/Q4P5EpGpFpAEDVaLEuusZaaQ61CERsZlQCgvu/bXMBIo3XYT8RhfX2BDUTmwtVoAVJ0q27x+waKP+zG5yfZtv7xYQUYlqDbIcdy+/lXocb2vN/213pQVYIP3mpxvl0JF26XHSFLakVRQhIkDj51bR9zsnrtC63PXzari8mlVClBbWzj48KoEJkwpRwNiBjK8bA03RmiqQWarufxWAsDK6VWyq4zyHkJgUaCWlKyRMyQM4RScTVUOm8G/dnr25F57xiVNapRJBARKgMDEc2zQ0QpRc6kUapGVYIlLperlcoFU2jmxw6XoZWllJDTcVpcSmRV4SqERsTkoiJRa316OM7HsTGaIHetnpfD5eWWqM7zqDRcXV0+H49Pz241nJfCTJrsarffF4ISeal5yePVVY+gkOw4PjPXNW32u3EYhlRLLbg/zrmWGOPxuPvud7/rZv/xJx9sNqtf/+KXm22fMt999eWmN5nphz+4+i9+fr/300NepNKsVfERjO2aztVyJUWoJEgIqffzAYUxjT31L3wMWqnj8bgahuC96TQAWGVj9MjYWptTlo20yBhC7rqG0dYKAkT0Pkzx7EwDoQKNisxZRw88v3l++7PXSETf5ypRdLIAEwqquH8YtWxO7MmQlrP1Zo7QX1883+894eXLVwg+7Y6P33z1/PTuk9//nQ9+/3e1wmpkLpBirYLX68HsdkmAmB/nR1eb5mdffpaYSFhr+tCs3v+dDz/8g+/RC9usbQGQFafHnYSCxfH8NC6LwvOhu9BaI5hSeFzYtFsHTX/+KqqNqA3YQSC5MBdXESSQFoCxuoZsyCCVefP2zg5N09qz7cXss3flYXd/nGC4+YNGNLOvK9vkGktYqOSUPEA0Qi5ueRTF2O7N4/FP3+AsJ173ajU45wBVBg6zI6Ljcb/dbruuKaUsi2eCwiWMoTVSh+O1NfdvPl+H3fHd225oX98/jr6ikrbpquAQ0nnfcAGBKMh453Bozq9Wz49PQ7eO8aCEpsKf/ebnxm6i23s/k1mN04SiZILz4bxSE3mJqfTNClMWgMdjNhr67nIflvVaB+dtu56WxFyQpDVd2w+7w7OW4vPPPx/6NqXEkD786NXd3R0jlZp6ZR8e7n/3ww8mNP/Rn3+D1hyWaJvOc7yffankizwbR7k+D8w5JquNtN3T82F202q1irUooZU1Wuvkw7JMjTauZIE07ud2aGtOxMyl1MolY2367mRNSCETEDBAYmCUUmmpJEmljBHN2eYy+5KXhIGZuaRSczGkMdcSC1ZsmsaFkGrKWPAEb42hHA7PX3zt757o4L752a9vf/WFe7ergd1xKbEYZWNOiWslbNt2e7ZuFHWaWoJe63XfnZ9v1+draqVsDShIubppYZ/c8fD4+nWZ5k6JGl1cZgL2iwshqXadse3OXmbV2W6TUWs7SNOSMCQ0V0QQOdcSy6nJoIzuN4OPKad6HOeQ8sPDw/5pb6T23o/jSFBJAHDRirimylELEbxPcXl8vv35b3722TdvYnOlz94X7SakyCVpLZlZKWGt7vu+1BRCqDV7v+zng1JKE152nXHTu1/+eb775va3n0Hlr9++e/d0jEWElEPJx3k5oW9KSYyCUdh2ePe4ezwuqls9HBaWjTYdkLq5fDG0emjU88Mb5KysOo5zKBWljpWMXd++ffi2VipVSmW/mwlVY1tgaa3NuSqlcmVjmvunx3fv7mKMw7C2ttXaGtNsNmfWttZaqcQf/tFf3h32paZp9/Cd8+Fvfu8yL14TppSY0ZW8m/zdYT6klEn6VFPJUkojhVKiMXZZlpRSBWCE4zjWWhE5Rn9674aut8penl/QCdpLEnNNqPjEQdZCCxDH5zHHcqKDIECpVRmzPj8fNpt3t49+dCKLnAsiEpMgwopd09RcjJZWG61VcA45iVIwuMevv8GUIMaLszMqfPf1G7c71pAVKoMKKwoyuu1lP+D2LDeD3pzLtmvWZ8P5uV1v7g+PX9+/6bYDWeESu2UpPmPGcHTj8x5yMYJeXFxabTiXEtP1i1f9+mq4uAlk1eoSUEhtYirOBSIKwddaBUPxsaR8cgMj8tX1edO2uaZlWZh5v98jspRSGyJRSVRrpMDSGFVzzJBmPxMUq/Ew3mX2mbOjfk70dBiZGaEu84wVt2drwKqNTCk4Ny/Lst1uTGdLip0kOB53X37mb79ZFTc+H1+/fnf3PJv1xbA9LyykVqdrBDNLEjnncV5iKpF5DOEYc7s+n1wuoACNn8ZWKqzp+598R4jCJQpNu8NhnMPZ+WXMRQgxz3PbWkYEkkLJlKvWFlEwQ66pArdte/oUHg6HGOM4Ttvt2WefflkLuCX86Z/8C7ek43EPhC7Ei/OrXlDP4a9+8p5mbpEwJ4nEKBJgRjFWcEjN5qzpBkVimWZCIMCay2q1kloJJUnJYbNuu6ZpGiEUVtTaWm2i8zLnqJRSRjZshSYgYAYiQok5ppoKVsAgqufDeBhkd359dThOpUJJlSqeDtc1FcGEzJwrojCSFpdrrQJZKoUpzccjllxCePXqlW4lH3bHZTzNQSAVrdUYvDKGm2b98tpJgmUpMUDM1nYomypbXvZMkJCXyjWVmmqNsBz9cphrLEbp9TAIJJRSAHdNPzJevXj5HCtxM2a40gZI+FP7NGciyskZqDklhSwIBaAQYrNZzUv0LgmlOMa+79vuUts1na3OXr1S59v7+3e2k6kmY1R00SopGeIyLstzEVwFyuaCWlOiI4DKkGICUofDTil1Yrm0bUNEwzDs3VGm2nLtlJnnZaVIxFlrSxIZcT+74GG17mOcW2sF0mk/AthopUMsVUlfqps9oGpNl6FmoIvNOqay7pv97B4fZ6J15lIZ7x8fXl6+cs6dn59LCcFPyLlyjrHsontxoXNJy+KF7WrNOYPW8kRVACy10Oefff3jH/3+PM+3t+/Ozy/6vl8en0uur9778OH2LddsrZgODz/+7kc/+e0XmmQhIYRUpLreNtvzvQ+VR4BKOW42K80NVDgej+vzs8W7FGJn7DhNGQpVhCpO4L45Rxe8hCNCYtFSa02iRKwgQVqSbqySYh5Dm03ZVbfz8Rn9SpjzzbBuvIhoKAsQwXDKVisXYpGsUbSCUgA+xPTu+Hj71bDq3n/vvd1D3V6s5+O4WvcJUrfutn0vbJOnabXdZIAak3PR6Hb94iMahgFxntyqEgEgk1JKvuypbyQT7CHHlKY07vbWzVBR6M5emma7lr1JWLI/jhmalx86FBKUKqR1O1fMMUPF5TiujdAgkEwUzlgrkrdKSdFhLMXNUvAwiGmefJjfu7kBMQht5HatVEGYrBpKjlMO0/GR88RtM8/76entMgdvpL28ypjKFKXU08EDaZJSSdWYPs5PlmqqJZWSY0YxByZbc75/8/o3P9v6uZFV6zbbUmv18wyEXWt3+4PR+uxi0CTCEglaRhOrcFz8IgsoH+rOFYvFYv74/YuX2yZMh/v7dzGnH/3gB7/96kFZoQHOzoZlen3YffHe1QtzMhPmQmQlCC37zXrw7v7+3d1aNUJKVDJWHse03W7ncbLEVvVff3UrhGAQqm0Li6Fp//xP//Tq+tXo4t//t//7/89/+P8ahuHm4L4EKFIdM3eNMq09e/mybq8bRACYj2Nmmpaktfbp2LemuNCKJkpZSrFtm92Tbtsc6tPxfru+qgU728g4p8fbp37bbV9tAMDHyJEqAglxglWXULx3zrnkk+1aJZSLvGnbKcz5UD0GTcgkmYFRCEHORcxYXKq5dF138/7LdtVTYwwrPa0QagrOGLW9ugBBXkCMhUi0Wk3L7PMimvbs5jzn3J8NEoSbnQBsbNfW7vXD/Rdf3aquE8iikkZpdJdarwHWvc41VyQhlatL06zBdjHGVNlKw8qOMeecpdT9sNayKJJcNeRak5fKMua2H+IYGAkRtdY96yXWzBBSFJi0BC4uLAetVAwl+Cl7bw1qwudlciFEwvXV1Szk3eND1w2ycr8anp4eVmbF2bEsq04vs2fOlcuJo1RqUgrD8VmUXLIviLvDUSkdC5KAflgppU5mSgBIsZz69THlSoSIJERhNF1fMi4+rTbrr+8eN+1qSXj3uG8ae3f//PHHn3zx9f3V1dWJi/vq5r2aIkpUUnKVOWalrBT8+vXbV6/WL1++nyExYsyJSBut3DJbrabD8fz83Iewm6azs/Xzw2Ot9Qc/+MFxCUKIzWbz1RdfEuB4OF52qwaAFa/Wq/OX5916pft2mse2bZVSJFBI2TQ2paRtOwzr5+f9iTM6L+M8j8C0LH5oh1rwcDyebc7u7+9lnOP4PB6Px2bTqk4jJSQoJ4UhU61JI3Zd63eLi2GdS/GgC5ArHcm3v/l8uD5TXRujAwUFSkKQRIpFrtQorW/Om01LK20HXQNWkTllUKCZqbEJasp5GY8aFXLZbPvEUTdadUJXq6UixjYObvZKKqzm2ojH49T0g2IUWArqXLyyvU+ZlVG6rcAuRdIrKUALLvs9lQosYgYuJ82KBmRWhFpHNyIKpWzxwZgmFJ8AhNEiuZq569uV7p4Omakz7XpXFqqSEyZHtYrnd2+55osPLsf9w3F3n5LLVgdt5piksSR1v1o93N11rd6um/1+x3GJgveHe9ttpZSQqxKklrnJmb2b5gNzzIIqcde35TCaRv/oxz/4xU9/TYyNtTHmmoskmXJ1MWVmoZuClBmVNqxku1qHmrp+PQc/B/JV7R6PN/YyJ1htzqf9LKWsFQjAKBu9QyWoYmFwPrSbLkf19VdvLy76FEKupWmaaZlPldUQgtbaew9A5+fnh8P+lKN993B/cX75+HQYhvVut7PabLdbOebfe3/z5eOhb+n9l5diPTyM00mj0zSN1jLGKAQCCF/CtMwnEF9IXhlZQSkyXGF2noCUFuNy0EbJxtjt+mz0U9M0hRMR6EbVzCBRAlUpKxRl5eZyVWYYj/s0TpDT7v6d1fT0+O75J3D16oXc9NsPb/qXKwBArGHy49NOIamNMGe6WmCBOAOicbsksLFWzSG2QxNzbNpGMVujWAN3RnUaNTIDViiBMZNZITP2UknX2rPNfHDAooSqyDTnLw7PD+cfrIWsJGVhzi5IJOTsjkc2VH1IPpKUrVZt301u6lf9OO1yKSDtWsvAQiD6elCy6zfwcNxp0rMPSoOR8uX7V6AaBo1eu7BIUafD2HZnKh2bpknj88PXvxQi3h8e9Pn3ZxeSFN16I4TY7/dSyovz7XLcrzrz/vWLymXx02GaXq7OJaa823/+X/wnF50xYVkJFECx1Mw4dN3v/OiH/+F/+J/86te/BoCubzvTuByEkCWC1pYyEOrEiKpxc2j7da3i7nkvAdpc4zH03XDx6ke7x7ffvHm836WmWzOovh0EydWwaqXy0yH5OTMRypzLcfI1BOYqxDAvD8MwhBCVMm5eAixWm1hYStRaLrP/lwhc0Kb9+vWbnGCeH/puiCG8Pn49LfHH7934w/69q/b5cNu0Srb2oh9OygRklsoylJi8tk3MKeestIxpXhbftu00+/PzcyHUNE1WiVorUKF+1ZtGrzYrAChca80k0Vpd8wm1Q4WrNJgoMWSEgjVZQD5OcnJnrM3z9M2f/fyzP/vz8eEhhcg1p7C45Tge9s+Pj93QghZZlCQhcGFKptVC0eKcNMLHKCWRonbdRJHZVtVLNSBaAMNVV2qwqpJFjhgXhiJZKbldrVMsu91h8VHZZn39wmxX9sXZ+tW1WA/91QtQ1hesyrK0FaUwRkodQvLeIwrnfEjFuxxTjSxUuxF2latiargqrqIAatOEWHyoQpphvUlcW0taFgOxE/H+m98Uv4/z7vHuS8jHw+6bqxcr1nIqETWllIhhmqbTRqTtuz/6oz96eN79yZ/9+TjH9fas+lgPk3v3ZqNoReJqu9ZKhJBiqbEiCoFC/0//Z/+T//m/+78gAY2xx+PBu8AVASDnwigYqQItMSeGL755/e7+YfZ5Py4Pz+O7fXzYBzucf+eT33n3/Pjw8PT8vDdN+7g7zEu03TZlVLqVyja2NW13yqkJZRjkfjevN9fv7g7O8TKVrl1JYYZhfYqol1S5Vje7FKKW6unhGZlyzqth/Xt/6Q9CTj6Hl6+uvDtebo2BQiF457z/lnE0juPJBJJzNsakVAgQucbogctq6ATSKTEzzhMAgCAmbNuWWGXUOGxX2MKpJwRQgYsU32rBhFYZQDSqb7VRCDns7m7PTaNjWZOEw2ILP9/ePj4+6F5HKqq3pmt0pwrnnCNA1UZKAyASKC5U+21TFYBRYAQJFoaKArluaDDQCNCAGqoooUSWgJpkZ2SjEtZKiJoyAwAcl3l0jqyl1ow12rM1d6Y9O0uC0OhMgow1q061VmgljTxtcU7Z1poqMCHLAgZUw7K13Zm2gyBLVcVU2m4lVBMzJJYVdWKMwdXkOE4NlQaCyIsVZVkekUcl5ml5BMV2aIg4ebdM84khn3NdfPrVrz+7exyb9WW3uWDQNaS1EA+//Y1KxY37tPjOdowSZYOycZ7/0T/8x//Xf+///tmnX2itnZsZyqngUAoDycKQSs2FuQpr27bpT3tmZiSi4ezKFfmwn5Qd/upf+esffPyRMebTL77eHWaQ9s3bh5i46VbatlLqxrZdv/I+hJAJFQm72VwfprT4utpcCtlI3TqfTubLWuvJWNx13fPzs5vmpmmMskqpn/zkJ+995/2Ly8vN1YUych7D7u5WAgqQXMm5kFLZbM5yqoJU8MktIbuAlWvOVgqjZUkRoWot53k8BdNyrimV2QfKmJuVFRqyr4gshQDAknJ0SwjhRPnKwGTkMHSlpKfH+3H3HJe5Ojc/PIpSklu6rn3/w/fBAnUaWtkMrTTy8uqcxIl3AwCAGmWjzMoGBrvqq0TRqK6xQmCoyUFyNaVSMgNTBcEVa0g+c5VSAEGuKddTw6yEnFabTb9ZgcQ5+CqpGgoAgVm27SkhD0pM84yClJJt2xjbnr7HJ1UPFxAgEhOJhoTdnF9J0dZC0RepNZEcVltlu5R5cYmEUYK0RKqJOGjJrYFpfDrs3+U8SUrGom50rSWXaI3RWg9dVzIvLsSYn3Z7EK22A1ErSOfFv/30Uxlj31jBIEkcp6kyZoZc4M2bd7UiCvGP/tF/3LZtjPFEUSUilN9K4gQpYywJpbStwCfP6ikh+XxcErOPefGhWw1Dv3758mU7rA6zHycvpA2pTksYJ5dKjjFKKZu2taZdr89zqiFhiDVG+M1vPw8hzZPPCWqtIYRTrfR0AGiaZuhWYQnMPM9z4RpS/Dt/978FWoacpILGKC2kAIF8MtcnpdQpnzkMQyklxujmxWpFCMs4GaWGtisll5KJ6AQhqwVKZsmjQ6085BjCauigVCAgYYQAkbKPS4HKVbTG4kaOny5hcWulptf3OpcaUouN03L76nx4eVYgSwVABBd01b4nmKZlJiiyCCAoRTDT6OZNP9QkYowpQUKWpxIc1ZwDJYYltZ3NEfpepVRqRAYoVdaEJeY8B5OlFrLZ9ERy50dfku6sjwACoqgJk7JFspnupiVAYy0ZjlBQZTvIw3EH47J7+1AYXrz33tX5S9k0NXWkC+/H3TGLdvN8N80x3by/FYUe96nn2nVb1MscwuydTonzGKf9fDw05XG1Vm/GJ2EvRL81S9bF24vrGBxAft49vry+SSntdoe2t8Gl6BPV0qXl8f5NGY+Ofdv2qLr9fnl7e1hfbJz3suuP8/zpV+9+8L0rKwWI1kePqAtIFxKJ6lKSxoZUbddMPhJg9KHvV8wgkbgkls1E/Jt3rhN1sG2v5dWZvdhe7O7vH+78By8+Sr4Y1eaSaq01caMHn3IstFqfDZs1GvPzL768urn+7dsnLPm7H55rmZYxKa2R4d3t283ZoDQ+Pbw+GSNWq9WS+OH24f/9H/+nqaq1bb92oM4avb55vSS0Ckkw435/ZOZhWMVShLUac6k5JkSJucISFp88UpmX8ezsIqeilPI5brdbub/9f/Tb7+n2fdPd1FCBaoVcKishM1fTNoVBkigF4uQ7Y7Wx5X5vgDInNHJELoN6+d33YDCoTn1CAImms5wqBiy1KkSoNfuafMguRawFYPGpAtvW1lQVCI4MhIwMTB6ZuVaimrgkTAk4UQllOkx5CtdnVwVYCgjFVwKhlZQ6hSKlwAxYQJPNNXdd781srR2nnVKitdrFyWojgXdPD6HUdrNapUtSigiQ5BLS4oIgwXqTwWTR277XxeeixylX8F9/9fb6xeW4342HnV9GhHhztepXuLr+7jtoPQitiWMex/GEs9tutydLrxCCSBgrgk9UizUKEQ/z8t577727u/MFQ4bI6BOEglqo86ubw/J1qrzEHBenCI1VICVVUTJIbXOtqXANIedSCiqlT6c3ZWyRKksBwP2wEjX5HKFIa2GzvsSUFOgcvDJSEpHRnKIbj63q16vBuTHObjzIH/3uj54Pe4IqhNJKOhdqcFKS86Gw6PqBSA5DH+aFGfvVUCocn45A+Lw7NO0ZIZ1dmmWebXCr/qwA+FL7YTgxv/dPz9/KmEv4ts5OOKxXJ0y4e3o4P7/MqaaUSkpKmlqrLMd/vBs/Fc3vn+O/oe2rJBEkICMQEgGREFpkV1KIKca8+DTOMDrKaZrnrKj53s3v/KUfDN+7AsGFGAgrAGksoQgtTNMwVBRYYxUgvfeSRY3MBFbZjFwSIyITV0YkqrUiKVJYCubKfilYIXuoCUpgSOiX8Na/izmfWQ0SrW1AMAhwcxDIOSYoMKdcU8WCCFBiMlLlmqJ3Agm1lBVWq/7dw2MK3qU8PT6fX2x8ScI0LgMmVMPNenPuwc6OZL9dZk+Mbp5tu9o9H4KflvlQSiCORrFSxq62c+wfn3Zse1RqfBrb1iqjUyxVVu+jEMIt6duOCmCvzHsvX+F4HEMi2y6Z7x4ehTTOZ2ka0s00L916u3NRWiYyRDDHgokJZQWKKVfACiK6UBC1bgFlzXjCryaGlIoksFW0bTfvdrrp56d36645354d7p9dOm7aC6OBVNW2ye6wPzxKyI3VCfj2qzd2aN6/upr9bKVorY7RG62a1sYorJFScM1hOjpE0TYdAnGFzHAYpwwIohcalepcXDg4VIuw1lp7si9/yzgHEEIE54UQjDDup67rmLGyQBQxxhTLPC9dswohICI16bX0P4n7/9zd/1NcPCWRYzFKcqmVcXaBEUoszvmSsgRWFZsTyG4w6mL4/t/+o9WPP8CtzaomLigFY60IocbAMWNR1uRYoyvZlfkwP3z5tk5zPM6UQVSKIU/ThIg1c02UA9VEcY5pScWxO8Q0c3Y1LilNHjN0pp2mI0MRAkEACooxFp/j0VVXq8txWub9kn32o2v0t4jkHCMiXl9fn52dKS3Wq5655BKPk49cpmlafNjNTthVpg77rVifB2qq6alpI3Dkcjj6eQnT4qZpcssBIQytyPkoqXqXk6811pTqvPi27YxpEBEFrVYrBkg5l8Ixpxy94vIv/viff/rL37qQnnbPADCOh/fef2mNGrq+0fZ//3/8P82pvH7Y3T7PSxFLEVORhyU/j35OHBlzRdJNLhUREUQIiYhi/NY8JKEKLikEpVQIRen+9Tf3zqV5XHrTbYcBSw5+IuDg5+PhuSSXokOoOWchlIgl7I8/+ujjD6+vLjerdd/2VkthnC/a9AWM0sPFxXcOu9iuz32u0+Ienp6XEI8+ZtKPx+lhv+xc3O19nneNhFbLYRj+lZiAiE5yzlyTMjLmsN1uUWjbdqkAMBHKlPJqtTLG9H3fdZ20BbW6Vfy6jof95425/nF7dZ1dYQSFAqVgB3Ep7KDM82G3t1wObvYU42D+6t/5m/K7lwlyVqwkCa5YoVZE5pN/FkmWDCnVZc6Gjari4Ytvps+/AcTNzZVd9bExtZan8Si1qsAkdZyTtqVp++hKh/3xMGWXY8hpWgTgeDgis7RynvZSq6fDHgEwg2A4xlFKAqii8Pi8y7GE4GJyFVJIflj1b96+QyqHh6cvvvm66doKJQX3eP/0pMgqPrz7stMEpVutNveehLUueOkCEux3j4+HHafFj081HloTrs83WtHb+8fb56NrZrzoxLklabpuSCEpq5fDoiXd3T+e+LTj83EYGg15HfNv390WN7voKANv09XF1rvx6uqsFEy5/v2/+9+ZQ/RSLyHKp3FlmrAsrVBQi8txvW4riRSjkFYK41I+mTxTBqWgQnXHuW3bTqvD89P19vJwPHRt/5d+8JcEhOPj68vz7Viq4GKMkF7ovj8k365XwzB4H4PPg95ITSLTe5fvHd1hGHoX/Byrz+VYoZTysMTw9Z2b8uv5kQCQWSmxX7JZnR9cfHh8LqSC99sWBKTd45tpfZVSZWbTtaWUHFk1VloDBhCxZO99ZKQTt0tKE0JmRiFUY5t5ni8ub2QCX2OtNSvzMD7+f6vgpm2wPSuVGUUMWUehySKi81EgBC5BsT2/OHv/Sr4698RCaylqrRVrBUIlRAmAGUphIskgcsrLnKRkwdhJ+Ys//q9SSh9//3vD+VaeXUotSNHdNG/OtinDer2RVyuWnFNJzvt5iT4E7/PsckyQihDCYMvB++grcJi8qCRZMBQUEoiTc8ClplhTLqVWQK3byfvMhSEVrowERC4kuYxxWZbkhGRkcViyFc3dwQvDcTdJKTHNGKa0zPtxLyHH6FZWtkZJKm0rtLBvjpm2m2Z7NZXi989d6QpDLqnv+8NhBzX3vT4cDgqps6YRMu/frJUMWQmNnW6MVotP2rZTzKWiW5KPtQgVQo4g3zzu6rmUIAsIRnKl0hL6bp0LgxDe+1iqtApR9H2DxG6am7bXpgEArnD/vK+lfvTee6mgUPLm5ubdF19c37x4fLwHrB+9ev/u/s3QdAwppWKb3sW5siWjVtvheXp82N09HELmejvPkw+zz6HUHJOkmrwzOq1agzn2XcNSLxlB2yzi3gdAfLnabM43rLtj4QqcciIp5mW21prGCiEOx51SSisVYhaIKQXvI1W21iqlcqqiEyml+/t7SS1QXMsi4jwX/cvnd7qU9fC9f40RhFQ5VfQZQs0hE+JqtXp6Hq8+eG/RFXsNClFLRk4hKwkkRfZZGCkIUKiSKhB4n04TuxQyct10tieck//6lz/rzzZidaG1Vo2Zc9i9aU0zuPV48JthvdlutyfSnWAuIYzj3kilhWqNKTEVglxLSlGSlCAUUorRB585U0i1co4lxQgnuARgLQCCEOW0eCDpQgw4ZRCIHPzCXIaurVUsiUkqZFLNKkSPEaaHY5h2s5sMZSWBCKSEmJaSoO83F12zsys5nKUDI2LNBaVm5t1uF4LTkk6Um0aKZZ4YEk/HddfS0E0ccpAVKlHJKKog1Q3HdAh5ocZuLi57onev754Py2CaXNxqtWKkUCrPThlbSlUojDEuRqnssiwkIOeshq4iEcnLFxe//dVvf/y7P2QS8+L0IA7z5Jx7Kk9Syuf93vqoJWnb3D0c2m5ze/cUU8Xuhlg8zzxnVeTq6bh/3u3u0xwYn6fFdquQAUrSSp9JmYSWpDIKXwoIiqkEpKWgEmryfpwmPG9RilQLSsGEurEVYHc85JyHbuW8P3VXTkJEgVwKxJBPA6nj8YiIMUYZF9QapSpKaE7L4n/+/NtPnyLdvPqhIOPGBDJokgD1iLliFWcDa8siZ62SUZVnJY0AygiYIUVPbElTKsyAYeacEIGAFWMRRq8vLoHkqutzTk0uu4fbN4enrjfKKiaxxKJMy0a2Ly5f/eAT0RsodXfcSS2prUI2MXgiyS7GkIZhyCEDkTCUYigluXlUSlasgFUo5IokZJGESiqyVpvlOCLubdfn+XkZHxe309oWBiGUT2BthwKyPNdYkp/maR4PjxxdWkYIo25gZWuDi4UwmEbR3KxAxXZz9fHDXBKV7fYszjGXkGNRSvetjbOTQhtVi876MJW717R/lEbMkz88OS8USdRa1wiVCWfnArJe76clTWNFUMBY0/svP1we77ZDC0Cn9lYLlWpg1aecOmNIymXxTbdpto2sSGhDgs++evrRH/2bbr+XAkd3gCxMRVTbmUU67j9+ddUN/Xx4Pu4eq6fj43J1+f5x9t2wPSzT3Ze7+/HpORxiiT7BPkphdDJqdF4Ti0q9atqWpKoxOCIbqgjJ+5oXjokqABzmMi48XNqV0BFyBcyZhFRuXqwyjdS11qZpZGNCjJYoLZ6kLKL0fVdyzTnXCkqpklkyoVIqxUWgEBIaQbML/8H/+f/w3/jb/8NXH/yoX50lH+fFU9UN4VTTvBxqcrRt25UN1VmhhRApp5KyQEkgkk+KNBZQQofsJeoYEyeWRDHnaRnRKMrctEYo1cfITWOtWoJjQfNhBJr22aeHb57qtHl5o43UVqPBbuglKGWVrEI3fZdqKaVUbhuTc84pEYI2TcnxtGMM0QOANFIIUkYHLkapvfeCQAixLAsJyrmgQUHS2F5II0xLREBUk4vRlxz2zw+izOwOlhKykADnm7VVC1HRSvFwXp9kAM7ASqn9fi9RpZrXm83T09PZ1RlovSwLQk3Ts47h8PAEx/14OJSqpxg8ZVmVSxmEZBClglIWSeQ8gSSJoIS8PjvbtG2V0kpVWHAlkDUVWA+tT9i2bQUZK9+8uF5vzkLOcclcpWma779/5Zx7dX2dpzE6XMZJNw0AGdPEZX73cOia9nE/v/nyrZXiRbtJPnLmz77+cknJc5p8CCUdl7FiZUE+F2FUCZ4FaS2lVowABLlyBYy1ZqQKiCU3igTSOMU5BZ3LUkO3OU+5hlyIqO/7w+HQWkuIDKCtAWZFogpB/8ogRaS1rpVONjApJcUYlZSLW1jVVEejzJsv/+Lf//eOf/hHf6ffvPj44497syk5e39Y8lFYnPyBUkFvv9N9lAG5gNE6xVg4ayGhQpiCVhYRcswAkF2uFfyyTPf3T7e3Zxfnu7s7qVSuVROs2sa5Y/azz9FNs2m6WMPkxd4dDF1kQo9x27egTK1idXFuoi5zzhxz9F3XKaMRCzGUnHP2iKIAgBC6aTTwFBxWEVKQ1s7jFGNsmubhzq9Wm8N0UBqZuVRGktp2QlqS2mcnIAc/Ho8PEmPNI9ZZSNYCqKYSs+2kNso05ssxF3tu19s6sTQ6xcAocvY5581mczgczoa1S1krbRHnh3s3Hss0xQKFRDG2QClQfMjGWABRmAA1igIssZazzcrW7mrV5+mokPwSdLMStjscDkagbgeMkEvhnLjii6sL53MOUZkVsNSm19q+d/WePzwF55ZxGpRQJCKIafaH2TvHL7MQtpfN+uriwtjmmzd3LuXaNEc3e6xLjkvOIGXlAppSjhJgtd1UP282a0ypcHQps9YPh6lfnx/npUC5OjvzOSOip+gKr41e9/3bcQIU/XozHqe2bbVWSqmcEgOM4zi5RZGQJPquA6gpJWNM8BHgW5iArLU21hyOO9Pa4zJtzjY48asX9JOf/8k//9OfNGev/pt/7+//8Pt/0DcXuTwV8iBjpEXHOr1xNx/c9P1LIizMbdv60VWuVtll9LrFlIuRBqqoWKdx//oXv7VCzIfJori4esGlOufc7j4Xb60BTO4wA0ejjRLixc3lxftXMGh7tipUcWtd5It+DWRM0wzn/fFhN6xX3qVpHCXSyeuQS1HW+OgAQFs1z2NKKTpXscCypBDdPGON2raL57ZbI8UKgivppjHdKuXClWvyKUzeH3I4Tsf7lS5KVS1qo4CTM6LlUlLEDPEhDvbm+t2cMor97vlycwGsLi63i3PjOG7Pt/NhDM5ZsyrzdH97O9/eX5+vH6ZDZD8uQbRGap1ihYpcoTIqlszcr4Zp3HHM59u1rNUSU7t5HF2jJEp59uqjuzfffP7m7qLvSmEAECQe3t0yKkZq172fo19c063dsoTFPTzcb0jlGEIIxpjL6+tpXADLn/z0ly+2m377wqcSjl4qw6Ec/FwlHedJWJPK4nMBAQkZiVCKk+wwxoglTzlIxSTIrtb7JcbCD7v5wzN9tu6f9k8FYbi5CUjaNjaJUiEsHivWnLuuU0IaY+Z51lIpEuth5ZzLpQDXZVmEQB9c3w0nN58sNYZMpumEgLP1VgJbUX/0w9VXr796u3Pj3v2jf/ofPZXp449/T/em7XRH3fE2bZsGK//i17/4ZN1dXG3mxbetBUBiclPELKeDL1yN7hiqBByf91vV+GW+vroZtMZasgvjOH8TxjjnyhAIWGGzMVFmatBuLa2b4b0XpreyUaSlLmpM1VgB2OSK65dn0fk6BSNiXryLgRizgmEzYLAoROVstaKuP+6enXPTuBwOu2U+xuRvbm5efOejkFMMT+McSmFAEdOiTePcXNNzGB+PT195d7Q6DS1aFmeroZM1Hk6lN2Hs9nF/CFc/zGo7zuxqeXVz7aZAYBFxt9t1XXc8HmtMJ2+VbJqH/dHa5n70Y+QxOKVba7txHN//6KMY8u3bZ2saINlv7Zuvd1xKml1SSiCIVffudrd9+cHNd3+8W+LF9WVIwR2fOC8K0c1z3/cGTDuYtt3qs3VqojWreXG/+IufhPn4h7/7O/7pXkQsKffrIaWk2jZM04v3vnt4ePij3/v9L371S8Q0hsVzXGJOyAnRLVNCzCT4W9YRlJiJEBXGmLimTEVLggwIUGTz9v6JARLUxR37tW3Phjqc1aZ/Ps7KrBTAcT8aZXOM/aqP0Z8yFUbrlW0JT2cVJihta2P0WkskAKgpZdk0iisyU2VQJKMP037+3vsvf/z9l4flYc/t/nj/zbvPP/mdH8p1lwEnpmWwq82KCs8MX715K6w0RscYUQiuonDBKnLJubBQlSrUWs82mxQkomDOar22UqcQst5fwgd8d+vcZHvpRa1lrlSFYlDIElxJxqztqhVKrJsh7j0glQq5VCm1ANMbIxSITb9/2AHLTdO03XryIaXESHletDA4eQPax2q7HonzoQ6bc9O1ktE9z5VKLkUIyjnm4sbxkJfb4qccRy3K9nw7qHzeb3Q+tMSFW6oRZbckFu222b7yolENquBDCMs0N8bsdov3XgihW51TSSkRSmqa7//hX/n1n/zz7LyrtTJKUsfDZG1z//a+bTsjhUCwmo7zxFC6xkLNRHTY715eXLzY0n7cxzDfvLj5/LNffPLy4rPdVy9eXD4/PnYNrBphWxLESuTLTedIHA/H4+4Y3Hz14rzpG5U2j98894ON3h3c4bB7Xg9dY/tFTznXzfn5bn/vUnQlFQQQRCxygnZosysVCkJKDDUXIsoMBAwkUIJLgRQJEPvD5FJtWkFaZ3CF6/bqpSdZfRJafGsKZsohVszH47GU1LY9MoQQGm18itoY7x1BzDkTSqWEc05K2dlWaiPdUpS2QoiSc855u9pixt/7/idvHuEvvt7FWH/z65/+9b/xtyBsTtsnVvBQwzJNNZfvsBrW/fXNpVASM4/jKFhL0EoJY0UCJkJlzWq1ck6QUSEterOyxk7vHqdau835jbG7wyPIpLfNFI+PhweoYZymnlk1rTS27QbSaHXT6VZHiZMgIbgCWUUVOuoNktZakAmFhdSNVmWaAEWndZgW2w7RRZJT2/QAdYUChUxMgKKATBkqY8pZiFLijBw5O86LUaiVeXVzZSmKPA3KNFhZdJxkYHKR5WpYMiWQXT+48rSMx6FdpVBjDi9fvjwcDsuyKKCu63IK1A96637wB3/48OXXb97cMoOUqtP2Ww7j4ah1G4MPSvu4CIFaKSvM9fW1a21MpVXsav3Zn/7z9uLqbNM05M8H8bf+63/jP//P/jHm2loNAmyrlZU5TFqI22++Siy22/XQ9c7PJZd+vZrHneja6Jb1psshPu8PRPI4LeO8hJwSVKEF5HryfgslQ8oM5GMwkgUDIp0wMxVYS4mCcwFNIhd43h+RREw1xNj2ql01xtoxgzZGEDrvv8UkAkgpSVAIznufQlx3vV+csSamJISQpJgZgBEx50BEMUZZwAjNIBWQTA65yFShY/7o0vzBd/tffPqLMg0PT8s/+c//o7/5b/+PjuNMwqzOzrxg3HTr7uyz13f3n8bfU3rT9Oe2L7KUUqWRxByCU0ohyQy1dlq90mnSF+a9kvIhzN4Qb4w71tyZdrtOYukGbMNzetvK8C41GnDSNrWD7NatIqFRESLJwiXEwJgFFWysQC04Qn+2QYSGwQWHgrCQEFpRM7s0nF36ecnC3N2/9XVJiM+HJ2ttTXl5fltK7TfrkP20HA5P76I7NmkfnK+1Gru+efWxKvs6voVlr0Q4hAVNF6cxCLuXq9QO07SIElrgLLtYSxXJyibHrJXatGs3jU1r5jkjUWeEVTmKuAc+lihku6SScrLWWtvWShJ1ZEyZkWk87oezNRffNioFr0hftNKAq/5hM3Z2r/6tv/G3/uG/93+zSq83Z/vno7YGSlRA8/zu9bs7v8T3P/nucH7jM//yV7/517//8eE2oEludLqKVOjs/EYAd0M37h8JSszJhSitrlKWWsBwjLOLniUAcZUSmYhJCEGYSFCpUaRFC1FAPs7jHrMQUkqzhyDaS9msNqtLO8XgYs1drWkYBq55nseuaebxaEE0WmRSktAYVQlzLtLoEsVmtRUIbjz6XJlSBpSCFUpIpaRYEalyREaAnJP46IPrq+3wlKUZmjdvv5RSbrfbkKDW6pNHlChmZeQSlte3r/WrD3tpm6YpKc/OE1EsVbeKBAjSWCGnoHtLgsZlrjmg5JhDUb5wRi26i7VPR9uuPlx9/92zXL16rw4btV7VWr33duillIIIiSxIYwQumVIlpUriCCn5pWkaEkiNUYQ6FSAlCJqmWeKotCh5ERAF8RzmcbfEEMLitue2W2+QSUq5e3p00xjcESnOy6iEJgBrrUjGkyahaw2EMgMzQhVYEI7Ho9Y2pbRarbRpDodDKWVxbr1eV6iHw4EIpNC1zMRADPvd3h2PVkkXUw6eUAuAEpNVGrkCABTeNrpZd/evp5vz83l/7GwjQBujC4MUkStaZQvTP/knf1KqTEU8Po9aNYDSO0d0mMZYYxyaBmLspLj96svf/fjDx/t3bv88SNZCRB9e3NzkKpKfK+EyTutVJ5C0tpWBBHKNBHXo2uJK4kTIkgSRrKkao4L3JKDWbIwIMa1st3ucRAGURejGx+XxaT+7bLsto9LaVGSJ7JYjEa36LqXQtm2pSQgshZFYCIFCINLJSDjPsyREolKKJuN8kDFmRGJmo02uGaAiAVJuRdNi/sEnLw8YxkpLHKMb+/XV4qbN5bksSmu7zCFRAuQ3d2+TD/zq47NuA5VDSlLKAvXgFqXUySfrICBCxbqb7pHrcjxkio6ORaJuzRwcy3x1ddG2dvv9CzA9bbZye+VzaZpGS5U5K9LSEOcMtbJmZp5cSLFgRSARayESlSCkhFLUwssST3eCIYQcx5wWzp4K+2nMsdRSpsWTdh+/enX/eCelVEYatTrvVog87Q8vby5ziJKE0m11SukGQnzeHToryBrRtIxAUtQUV5v1w92jVmo3TanWkNNmtToRgEnJ7cV5PRy2w/r1fp9D6EyfKu/HqVudZxAIAlPRQs1u7tsOitelXLRmY5vFpWk/W9t2CklQbxom0XXD0+PxcNjf3Nx8+dnnSqjvfGfLjJ3tkgsc/Ma2S/B53O/efv1yu2qt/Mnrrwxw3zcF+IMPPrh68erLr99cnp1Ph/3V+RkRh8dQYioCKyEiCyKgU88jKxJaSGYunJCkVMCQkRipbDqjSrCef+fV9i/e7NQKF1+lodHFcXbXr672x0kpFUomIoFQamAoPnhEBEEpRQL0PkrTa2kAkWW1Wo2HPQGfOgKtbmRaUtN3wLXElHOqOTLiPD4X0Sk6e3neNV+4p9kdg3v7zVfXRWrdP+13F9fnje0Ox/lxv7vcnklUx2V++/QQQ5akELH6KoQSpciSKmdELqJGH+Lso/QlhiCcbdX55rwQuBJ01/sS1x+9EkJsLz7aOV+kRiPXXXtiybIEX4IRtOoUEAvCzIkipeSxklE2hEQpAWGMOefKVYQ5LYexluLmaT48h/k4j2MKfrs+A4DpOOpe9avtNM3Wtt7HnGvT6gxJGb3drsfxsN+3K1uxViTt0zKH0K1XwY1TrqCb7PJJl313d8cFxnGstV5fX8/zPC4zMLdtSySdm+viXJ4FV6swZK+QO6sGrQIkIaRzXmnqpRwUWaO1kKuPP3LHYwopJbZGMgMxEQgCGZb00Yffe3za3d8/klqt1pvb2/3l5dUUJyFUq+V03PXd0ACP726bF9e73QMkVxFKUqLW6JfD0+P1xfnyeC9qWq2Gu6fbkCIqyQCx+FxLgjLOM2pGRKmpntxiEkPwIYxtJ2vMKNO6b02uv/dqM3zv+798889iyTVwyzSN08PjbnP+whiVUoSaTzqRaZqsNVKJnHOMUUiRcmyaZpock2AgJG6M1o2Fkg/j1KE85bN4Po7S6FMgSkrJzEavlDWp5o9fmEEs+/u758B/+l/94//u/+BlLbrr1jHXZb9vm/7lK6OV4pglqbvp6d3+EQCstidvlZJmnHaV0w9/+P3vfPBKKYx+WaZDDj6FSFBffvfV7eO7p/kYpbCAfL5p1qsAxbYrJHGqH9WKQhEzk4CY0izAWJWQSWkFLAu6o7NolJClcAgRcoFcJcnnw94dp+T9eDj4cYbEq27TXvf9qtvtnpLE1Vm/2Zx57/f7Z5T27GxFWPzxdnFJcw7zeHiWsNKQx7IsFA9FwNP+qQDvIK/sqlMNkTzpNJkZSu2a5qvPP2+aprXtMAzH5/1zqlprCAmWYz8001ihgGltp0QKy8Y2S8idEpLjDz58XzKPz0/rtq+5xMIAkiTKZhj9YoUwqLfdZpzD7Tf3jAJBa0tLgIubDwgwOp9STNUPTUMliiw/eXFlWvnPf/kbyVIAc8rrzWbTtxLKfPcmh6PUMpTp6XBfDbocAldUlEIMNdrOLtkzVSIRY4qcc46VI+YlTmgEnXVdeLijXF/dXL19uCWAnGF7fnZwPqX69es3JPGjDz9otBh0X2tlQqMVApAQ0TlpySgdfcJa+q5V2hymUQg1LTMRSm1s2zkXumagmqOSVFNUJAQpRFEzG9NkPykYry/p/ff6i7Nus+p3d29+/dM/5xQJscTcmpYLGGWX2WcGMgqs4AblSh/yfD/vx+LfHh7u5+djmb94+AZsaTbQXjbX373qXnbbDzbmRStW7frmujvfzqWIrnMIDimBTIwFkBgIv9WIIQAwgqAlhQiVDbFB7hgGQYPKgn3Ns3chZgIsKR/3BzfPAiD7YKV4cfny+sV3PvjOJ1dX76FuZN+fv7pJUHfj8d3949u7e2NXJLrMGlXTr9ZYeZ6OSDVlvzvsjsHNORY8df0a2a8dGCAspVQE51yjjdY6+gDMCsnN83Q8NqbNKR0Ph6ZrlZE5x6FvJVYraWisgLIcD0ZQo1SvDeVYw4yRMYMAIYUW2kjbfP3u3X70ITGwjD5dX7xwo4suai1bY4WQDOJf+2t/oxtWJNQJoS2EEFwV8m9/9Yu+1R0pURhz9fPSWbPsn2qY+03TdPqwPM1lmeqy1FAVH5e5Cq4Cd+MxZL8EF3JyISARY601ETCW3GuNPq3bzhqsJdacFcDhuByXGZUUSk1LmKfxt5/+XMiSc+66TiKN41hKOSmcS8YUy7+0HWWGzCULcbJfh5Cits1qtRFCkSBM3qcYvV+i91yxVpjnmasn4axx3/vk4uZ69erV9dCpzz/7NdcUnecqxqNjphSKErpUSDkvyR39dPTHLDIaESBXwc2qXdLy1dsvIwdfK4jqeTYrXUw1543PhbTavnhh130kmFM6LA5RAgpmrjUDVCJiRAGCGIgkEj0fDwHAM5SOxNqoTZO1AKsC1oNfcsgSSUu56nsCGLrm5vLFzfV3zs+vbLtGqXwuYwhjcOM8v717Nztnm17pFpWtaGIGobSU8uLiApFrzd77p8NTQd5cnt0+3H3x9o0dtlOsp6ral19+6b03xpxsE1rI7XYrkIzSNRdk6tvBl1SAQQBAVUTJO01i2/cEADlR5evLi7jM2TsCLKlO0zLOc79a+VIqiefjfBgnRKGlhFTONpuzzTkynOoT8zy/u7tr+9MGVqeUrNKttW/evOnbtubcSNuqpjN2NQzz8bDfPZbgzs/XS5zunu+KrC7NwkpWogDHkgvnprMxZxKCsdq28clnzozVatVq1VuTXTBCSoJ+sE3TKAGNNKZtQk4ueCEBkYng+ekeGY77Q9d1L19cxxi9D4iU84moWFNKUHMtCTDP8zzP80kNYK09HQykjyMApYIyG2A0jahMqaZSBUw1pelH73/8x/2bz9893e3351fz/e2vN/JH3ebF4kasozJboWTftMjVOceFUEqS6hRBRSiVwbSN0oJUmxgzF2RCpM72SujArMiUkj95/wf3x+NU0pKLZxYkCQAASipEwIQFZUUCAJYae3GogQRhVbKTwhB2kA55Y7f20AmfgwuDMVY1QEKQMcY4X8LzYwzL8/7BzYfl8IyIpgpGkShJLbgGIyXHSBQ3fVvMOWm4O963OjOMmzP54fvb4OfE9fKv/vdGe9mQzBUI5Q++/7tEpLWxsQMAaTClQJKU0TFGkGV11kEVVPunpWxBp+oO4yK7DRm4frFaD6unxwNCRmWPk2PRh4AEXaNXcQIDJgt+p/24ezz65YOL6w9s/8n3fjDPbrh5+eab15uGd8/Pv/jpT4wxWqocsUjz8Y9+//XrN9N+wuC1VUKk6go19uDh9/7yH754/6PbLz4XTffTzz599JOjzH2fcxFAXpRKNdXiQ4pAiKJmiRgEVCxJYxkQL4bu+mL968fnpuVhGB6OPpqVHYb5MHZJtW1fYlICqERb7dM3r4f+gkm8frhru560Ks4rrqu2LaWUXFEqn2JvtFG6b4X3FYCCT3GacqpKGSIiPl2+U2LmcRzdEgh1DMW5kHNtmmbVNyku1trj8Xj7+rWSopQCACTtSVvrnNsdDiGEk5muaRrvlxhjKWxtu1ptudIXX30BCCGmUIBJo7QVFbECBgKCykPfb1drJU52ATiVVxCxIgBAAc45l1IYQQophEg5B66eIWCljkSvqwUahNg0atOxFao364sz2ahCUHJEYBJglDoejyl4qCXFRUkY2gaBp+N+POzdPAEXgCokCoGCkEsWCOtNY62elrmSaIdVBSqZjbEnKsFxtw8hOOdyClJKpRQRnfZJJ1pBSkkZs9lezj6kUgoSEGFlRHx+3ueU3LKsh01jrCSaZxdjrrVyrVxBolAkUMkHN371/Pjs3W8++/Td3V0j8K//1b/y/osXjZSdtLIA5TqcnZO1n77+ZnV1sX11/eef/uonn//6L15/+s3ubvKzlPDxxx/65Kvg+4e3zs0++YK0H6fRLc/jIdcTHXJqW2u0FARKAlQOIVitNt1weXH26uYF1wJI94970k0S8u5wfJ7HwJBSOiU8lqVWRkYgooendxlijP75+RkAm7Ztuv70+jAzIjOzc66UopSRUmuth2EAYG1kLp4Q1ek1rSfwHoCUUgojdZsKodKlJClqo1lLIq77p0dVawkh5tq0g7V2nuf9fn9KEpAQyuh0uv9kbpoGEbVqa5GfffF5YQCpciEAXUAUBiIBgJIEMiggTdRbm3MuJTMAIKEUiKJwZQQUFHMqteZaygnljBCweqgT19xAaaF0MFGIpiaNRTAKjDEu47R/egpudtNcUrZGSSFSDEpALVEQr1pTckh+rmmxRqXglvF42D1rWXOaAdPZWQuSn/f7ph1cKLbpCwMzex8Oz7taK0MhZPUv/6y1pXx7/GoaE0J4c3tnhqHqBnWHpKTUiCKFvB5WrWmpIOeSllgzS1KNtFoaLdSq7TpjBQogdFBfz0+/vv367ribgvv6q8//+L/8L3tr/62/9/cUY4uqJ2Pa7sPvfvdv/M3/2nsffYSNbs43d8vhs93Xnz989e7da8rx01/8smvU937nk9vb1ySJBYLWnjlCTcguLiccwbyMRmmtRIreKHGxWa/axirpp/H58VEiHJY5M+znAE3/q9t3zwmMpcKweC+0ObtcNX13mMZxnhY3ai0bI5DqsizGWEY6nY6EJKWlUuL00PkYYh6nJdcSc1BGmEZRTjX4VGsVEktN36bxWJDQ0nQxs3Nu6JqLTRP8MjQG4uLmvV/mvmm9i4fDQUp5kvVOy9z2XT8MTKisIkWpFCD5vB8Z5RdffPFnP/npNPmQOJWaS2XEU4xHIkpgTagBDAopxYnDk7kwnITVp7kcCyljyQX45F0IXDxwVOJYwkRp0YnXJHtdDCSI8zJOx4Of5rz4GJxAqrlIKZWQRGwbWbI3CoFT8NO0f+DkrOSakiDWigRlwmos9r1ErIfD7mG3E81KNEPTrXOq3vscYtM0SimrjdZSSjJGPTzeAVREGIZeCNE0jRCiaftmtWHTzKUevV9caJpGa01MyHB1frF/eBYMotJgWysVZaZUDQosLAoLFAUgCZo5//bt67vdk18mJeE3v/7lP//jf/qv/+U/0qQlCD8un/3yt7/9xW9294+11u98+MEHH31URd2s+peX57am9zZ9WcbDw22CePSHzDVyQQEVi1TMglyOBaW2fSyw+ExCbdbdxflZXty60Zu2MYKenx6UhPV66IZVEEqdb1iCz1UoPS2LkOry6vrh8bkyKG33++f980MusWutUkpri6SttUJgzrHW3LR2tepLKcscAEgp45yzjdZGVs5S64aIdsddCAHBlIrzFFCZiuUUe1xC2HS6Lofr9fn19XXfql//6R9/79+8LFFlIRpr3TJ777uu3V6cx5KX4JdlIYKmMd67x6eDFLpWXm+uP/3t1199efsHP/7+W3/4/ifv6V4BGiRAUI2gwMwVCWokTiVKYQszMBQuDFgZGAkJuXIGJMDMQJJ8TiUVo3WsNccgiV5s+0oEoPJUUAgJnHPRVszzVDi7ZSaJgDWltIQjJapYa81XV6vGkJsP2AilKdUCwKRSb/V2wPG4f/3V1xmN6c/Orz/87esHpRUA3HzwwTdff3V1dRGCg5rncT7fXnzvk+/+xV/8bOjX03EM0V2/OEdEMwz5WMXmkubs7w8+191xUUipcNcN03EWSCikTKQrGkBrrVBSKkUx8HBxNz17Ctjap/l43mzvl3F2R63UxXori/6zn/+LTz7+cD1svvz8s2boHj7//Jbr2csLr6xMVaT43svzm2G4FPYv/ul/QSqvtv3d4S1ojLmUmrTC5BYqSSIZoPV6rU1793CfUjhEl8YCcfndD9+nFDdDayQWK948PK86e5iXKdOv3+4XAiFwP82NkkB4e3+3u3evrg1zzRDv3r5pu+Hi8roz3Zs336xX51oLY0yIs/MekWul1Wq1xNNxcdaNJckhh1gieRdTSl3XdV3XNM0p0uzcQkK5EJ93xxBS17SU+fi065TC6MtyhDRrxY3BkyZ1s9loa/phYIBUstRKGR2S99FpK3yab169yIWCr1jkz3/ys6fbtz/9s38ajvcMvmSXyyKAFZ7MNng6esYcC9fCFRArQmWutWauKEUFZgAUVLkSUUXKiChVESKTCMhFcRHMGovgSiCMDMVX5Nkv2ioUqK1iyrrRKDkmV2o0loSsQqHUAgQKTUKhbqVuhTaotZ2WwKCFXt09Hhbn26G31j7eP3Rd9/j46OZRSmrb1vnZ++Wjjz5AYsDa9733/ubmBqUUxtrV/4+n/4i9bkvPO7H1rrzTif/05e+GunVZRRZLRZUoUhQVWoFotdQtoQ0DFtAGDBsw4InhkUceedCTnsqA3Q1DMtBS26C6bYmkJFJNihJZxVTFynXrxi/904k7rrxeD84VZ2e4D84+e7/rfZ7n9ywS1xl4N/RUcK6kCzGEwJjgXBKki6JolJoXBVqbx8n1/fOry6Usz4p5xSRxgSLt7dR6YxlAUezNdNNuPMSXd29eb14vF+Xl2ez544eawevPPr3+9OVwaGuiLxYLwRAEVjOxXJXW7DzGKRiEDJgrRi4rcSbpgiYZpotKge05OkjTo4vFe+++8+D83E9jrVV2LlgzDv3Dy2peiIvVsp9GBwQocKQxZx/zsRtiQl0R60M/WQmCJJJ9oIiQU1NXGSNjDDFxzqtKU0pjjMYYSgliMmYMwQWfKPC6mlHGRIqYIp56xgkh02SBgzEmIVDBzWTndfP2W0/LovCjweALwaax7btDiu7E9znNW865nLMx5kThoZSm7DOGpqmEZEpWWtWAnBNw41Bx+MP/8Fttt0cSMAcgmREQlArGENOJugYAGTEDyQgRMRFCCCABRnnOSBCAICEEESfjXEDKRMxoiWOV1MsSNcsCoJCGpEwS0kwpdTGklGKOCMTaiUvOJYvZScmFZAQioYRAZoxVVXFxdcEEQZqd9dOUqNQR6WRdUc1DCM7409nolOOWUoboU0r7/f7PSqCdc23bjuO4WCx8xvnqHIFyKbt2EFJzoaRWjIsTsUgIEZ2HnASQWVktm7oUdDzsG1Wc1/Or+aqiolC6rKpIYNcPn92+8RSnHLf9YdPtjlPrkzVuHMajYNQb23fd08fPBHBK6Gq1yowMrjdp6KZDgoyQ6/lstVzOC/X4fP3swdnTs+bBrHywLKbdLfPjouCS2FldPn/25Gy1FIwGbyVnjx9creZloWl3PHgXkZCcKSaSE0EgXApCQSu1Xq/rurSjc8NkJwOYYnClkpjifD7nnAMgACBJhOSUUs5xGLpTjj6lVJblNE08ROO911rnTAnw0UxIgHCx2/aYQBeFUEJx/ItfeDx1PiqwAVN32P/o21/8hb9ZN5flg2a7P4yTNT4cWhts4AwccSSjLmRdrfv22KzV3c01SMmBOGsDquBHgWFJ9j/4zX/81rs/vX7wrl79NBMECIlpFIwGAoExAwwZhZyAICIBACQknswsmBCIQJ4IEgClJPxHNMDgrWN5VpTsqkoYiSCU52RYZyYvcgh+DJ2uBU6J6KQrmjEBBhBgc4CaUZVBci1qAda6NqYYaPH61QtDatK8JdbvQjlPxhwOR0aAU6oLaaehd75pqrEzUgityrEfylLP58vD4eBcOBw7AOCivLxajl2/3e8ioKG56/qzsvE+xZxKXYjMBSkqzjGE5KzQWlMekETvVqVOeqYp37kRc3jn7Ue3m4NUfGePIYQPhvHRg8d//PLjmvAvv/3FisnYTzzig3p+1ixe0/I73/lORcWyqtfr+ic3Lw7t8X4MkWpzmMQQfv5n35NpOK+X3di5s9Vmv/v7f/lrv/+nf9pNg3BF/+pVTqGpVOdQZXq2vNrf33FRZF283nQ/vusUr5jmNPec0MdX53Y4UuyVos72wCgAaZomxfjm0xdP3/kipVQo/er+TlAppaKnFnIWU0qHdi+FFkIpVfTDsD+2hDLqXUwR+9F5l4EwJQtKmbURgEopU4yF0pzR1bKaNRUliWTPIFP0bmgphsPhYK39s6MSYywjEkIma7QqEVEVpVCaMUEiccYb4yjl1sXNoX30/F0MvRu3drhTPBAklJBIgIEghKSUQ8qnJ2hAPIkQmSAjAAQYYwxoxBxTCjlFzIQCcMaFYEKlnEfnkWI1r3SjbR4D8Sm7mCyi0wVD4lMKjFHKSEpBKQE0MYl1o1bni8VqxiUfzRhy0mXNmOgHm4jQ1TIhiz4woIRQzrmUchgGY4wQIoTAOV+t16MZdod913WnIErXdd45pVQ/doOZdFVePnmUBEUgdV0LpWShEYAxJhgvtUSSYvRaa0opyQhIKqWjtZLSUkpJ6PPHT25fvTlbzDmF4DxiZoJ/9upla0bCxev7e6Ts/MFDXTeL1ZoyURQVo2oarTH22Hbd5K4Ph2M31vOVLKvBhrtD70CSeiVVxZjijPWH/fOry5KQmSDZWsUoxOy9Z0q+ubu/2WxHa5ms6sWaMEIwZW8o4vlypiSVFEqpK10wQhUVktFZVUrOKEFCsnNuchPJ6L0Pzk/TNAzDaVtXVRUAMMZSSkqp08mb50wRCWM8hOiiF0JjztZ576IotA+jMwMTmQKsV81w13HKo+undvv6s4/46uHOM11Ug7EJ2Xy2HGFsqvo4RUSglLvsiqphVADltSqn4Ui0lmUBpLap7UxeFHC8+5iSuL54lzePLVHIVMSYgaaUXPSEUQ4UAGjOCASQ5px9iifSJyKc1qWMc+c9Bx5yIiFiRBtGqebFQiomPvpJt+92XLBgLYWYsklx9GmilLTDQZYi5xCIo5CLuo7gYgzDcPRmWtRFJii4HG1Ss3Nazj3y7nDMkAWDkJMbnZCcc04prary+vq673tE5JxWVYWYYoyUUkLIOAxSyuvNHTHmyfvvlvN6fPVK6SoiKYRCIOTEBVydlVLcvXkDKeYYdFG13VAJrQBEWboxXK7XtdLvv/3O7W7bt8emrm7u76r53IQIXHpC7g6H8+XZcr6slsuM0bhpvj6DKhgToiYRReSqj1jWS5/obLHiuj6M4ePPPv3aV7+8yIDIF4uLz158sr44W+ii5LJcntXz2phpsiMwCAAGM3Hp7uWrP/1so6pKTimlyCih6MOQOQMGpCqqENL9zeZioUzf0c/xyMnZiXA5jD36WJVlCqEsipgTY8yn5H0wxsSYMyKBLISgwceYMYSIhKaUUyaEMiULweQ0WZJyTgEwcEYu1rWShERbSOrG/ri73d9dl3UFnC3Xq1O/nTHGpxx8LIuq64dmtkSgx37YHdtTQ42QMiEhVHVjnDw9W1Rp2of+9u71DwUxFCMQRgkDgJiCi84F72KImIGdGAyAiIIyKeWpSIAxxpiYrMkIxjkXgg1p8j4BQYYBECWxxFsMx/FQ1rKsmbFdPx2oyFRBhISKOAwogRaMStyN29Z2Jhs9L6lUy8Xa2LgfLNGzxIos1GI5IzkXRdU0ja5KLiWlFIH0fV8UxaE9lnXFpfDRtW1bFMqY8TT+xxgJwNnDq2K+qM5XvK5YoerFLFGCFE5nhWEY9sejULKZz4QQVVUd9tu6KhhmNwwMYWg7P0wPzi8V5QxJsG42mx26NmDmpTY5OSCHaTqM4+DtR69e/Ls//IbNqGZzoovI5e9/6ztQzruIWs3qcp4ialXfbo+eyF//nd/7rf/wJz95tf3szfHtd79iTfryF79ytn5wNptdLdeSMjNNRVX99Fd+pmhmsqwila0jh34sJT9fNHVVuGHiDJSQiIgR9nc7SsiimQXrBKPenyijLoSwXq601sMwxBhTyinmcZiKoqiq6qTfnlrQnXM8E55jtt5JKROhyXozWUtBCCVoFkKk4GwiQuLDdf3iNTM2hGFgchl9tib6Y6/KQhdNWdfGucuHjyggUB5jNG6aTEAEl5CqImQEJkY3VqrcHaerpn55M9Yle3h5lcL4wR//1jiFh1/+y0qvLSLDSDAc250uKilVSolJxQggEs5ECIFG5IRFhJhTIkgJO7WCk4wukUJqpfRgQwmyP+zLxax+4DSDi8WM+OmzN983oddMJuIjzRRiKiXRACI7QqmWlDMpsKoUZ3johxeffMqrOZ9dRD1nunRDLzjEnEfjog9lqROiFsIYF1OkirVTV+pi7Ma+7bQuBeOTHRljZ6u1c+4nH30Yo12vFpfvvfPht753wL5ASokqtZjPaj+E47G9OF8b7xLg7e21ZDw6P29mduyzmTQvhsFsN0cG9bMnq5+8+NDSkDAHkg/D/qy6WDZLQ9LGDi8/+ejYHTzx4+7u8fnVk4uH8y98Yfjso9/6vT9cn69rXpZU3W3uhmkkmMp5E4uVruabPkVvieyb8nzbOa0uqgLtZHa7XX9sD4p9BERKnnNGLqMgmVOSvLNkuVrNZeOc8xmnKXrXMqWXdZkIciVHYyllAEAzVXUpgMyrEkI4O7sAoPebnSzKlJJzLiXkXOiiMHY0xnBKqVCcCZoIpEBCCKM1ej63ky2UOhWhMgBKmIB8vpzd7u8oVR5pRuY8zgu9XJ/tD62qqoS4u7tTSjFgSqk45sHYpmkqJV3wLmYhmQQ1TFYVdcx93wdSz6QwhHjbvvrjf/9b/+D9n4/BE0ZjcHbqo5+y5MGTBLEQ8gTvi5hjjEpIoMBOTXpACSABSJhCDjlnn3IaB2ZzwpApU7rQs1qQHFlG4pFll7ygPGYsFlXIgXNBNXDBYgpEaKSESATBCUbOJQXOtZRNI2aLQASjWXJCOMGIZV317ZFzHlKqqso5l+ip2CwSRoQQ0zQwShNBydh2u80paa0J4WVZNnXjCdkO7dPVBXKaM4zOruv1dnf/h9/6k4cXFz/zU186bvbeex+zCVHqMk4jcNH2I/Dj2dmT2XpRLZff+/j7rRlPew/vXY+9bOh3f/jd2awJkhKqegx//OJHL4+7+2CDlqvzi3lTr3kRQ6gpLQrNtMxA1pdXJsSqaACgbbsYdFHowWVBpgePHxR3Fe430zCYUi2b+uXNq44VCSBmogWEEIwNMyWdT6N1UsoERBdSVeVk2pRCURSEEO8DVSrGVDaVIyCl7NtOyCKEUJczj+EkZ3IuQwhSSkIIjclP0/RngLzRGK015igk895/HlCUstSaAhZKzmcNY4wywWVxdvHwVK3XdV3XdW3bnq5DcOVjEEI+f/bWw0ePdFEVugopDtMYc2r7zrmQIrTH6fXNkYISTE7H/dTu/t1v/gbDSDFTxBxDVSouKGIKzjrvT7ZLRBQnj3dKJCPJkGM6fTGM6SRwJ8wppeBT1499P3BZ0kKAYiEFG1w9n2UGVDHkgIwTziIFn8AmICBDxESAS4WUhZyAUc45U7KeL5DxybqyklVVCCXKssw517Mm53yKpozjODmbUjpxa08aEmOMUPy8ki9nTHkxW56dnR2noVzMdFPdHXaJIOWMSg6MPnz65Nlbz293m9FMPkVEDCS7mBKi0qUPqR8nAvzi/PEv/aW/cnZxNZudqq2DEBwYnS9mq9WKKdn5kWqeBEHNUKmftK+/+cPvHMwQcmKZogszod958PCty4tn52eXTX3Z1Ot5maO9PFsITuu6HsfpeGzv94dXr6855w8fPlzO5gXn/fGwmDePHj0CyrgUOWchRCIwTM6EHJBSqSISKmQ3Di6mRMD6cDJkISIjbJomRsmf0b6rqppGa4yp6/pENAeApmk455wnctpveR8TK7iUPmBEVjKa08iBaJCckJwmzeaPHsiX97vW8Y4UX/ry19XZ+fJsudsf53WVnJ8mG4Qo6oowTCZqLm5ffTpbzF/dXBPKFlwGn7LkT+al31y765tpc/NN+8Pjq4f/yS9/bVnXMy0ON9/6k9/OP/03/gECebx+8P03n3KBjIGUpQ82IwvBFkJKLlPMhJBMUySZEBp9lFKOLpxwN3acCKHWGUjZR5MzUs6ncdx0m5wcrFdzxRAguslQkAIAQ0omcnDBqaIkXEhdcHR5aA/tYbvdTel8GkNvbqmeyfl5t99XuqJoAaAoVAgBKB3HMQPxMcimrMtm6EaETJUw45CCi5QWpfTeN/Ozpq63x1ZSujhfvjnuQJFjnmZVFU0wvi11cXl5USkNWRDkVb0Cqdu2BZJ6M9mYkcnj5Npu9xu//i+MH9Zlo4QmEG1OlRCUyTdvbr7w1tvbzb1zjkt23+8pk1TMrJ9aKlS1cEyIKMDkqtHzVbPv97N5PaWwWq4yWR7a9tmjyymYaiYIVa7zo4vL9Vm/uS1p3m9umrNmF/j3fvABpHz26MnxuMcUC8omF0XRaK5dCLqUx6EXHBouYzAx5rIoUohVKbvj0VJaVWVKyeDoEyEIutLUEsX4bDk77FuS8Hh3AABKIJ/Wh8DFKR2KiIqL0zn/FP0MIVhrnTO11qvlnAl+/uDxT/3Mz1w9fHy/3dzvtsAoY0xrXdSVEGK1WArBuRQupm7oy7Isy7J3jjBacpbaTWjvqNuLfCxo9fLldduNy7N1WRfLmdrfvdrv94Lx4PxcV5LSmSoUoQkhBvQ+EWTBp9McnVJiBHLOSkjnnGD05G/nlBFCKAdgFAQnAngl5bzMUkbGoCiaswtQhZ7NqFaJMZdyJGywPiAds6BqDrxISI1xd/fbrh+ZUoRyQohSarO5M8YUSrdtewLZnU5vp2ckAxp92O12pwjYNFpCqLN+t92HEHPOQqiyLMuyllK+++57KWLO+dXtde+MKLRP3nmDwT88u+DIlotzH/NxGMvZPKTsnMs5VVXBKTnsN8Px0B0PwXmWCQkosuBMWuPXq/P7283V+mI9WzayEggS+eVy/fjyobc2hciBqkKWTam11lIxSlNKOcT9oXcBVVGeHnWIGL0ryjoBfPzpZ6P3i7NLXdcg9MFOYwgJ4frNDQdeSMUYizmGEHKOAEAIUC5zJj5FygVjTHAVYxzHEUn+nAZBIec8m5XOT1pxpYS1dr/fhxCGYaiqSkrJQ4yUM4IcM/EuJkIJ0tMZSkqp64LklCgJzqXs4tQxyIngl7729Qhydzj6nISSBIBxPm9mmWDOmRCklLrgkcIwTXVZ5hxp9nG07V0/i13ev+Z5BHvASGNM+248e/g4C9JbTKT5/h/9/pd+9uvrB08jawbvIVOKFDKJOaeUR+KroowxMsYocAoUsrfenuzZFIBiDikwwpBiphEkFUpNbRto5POKRRl6iN4lpVLMhEpKsCz0dNwiFVwIwguUBWKAzG5f3x43u5gplQUSCpQfDoeiKKK3m82dTzGNg7XT6eCZMPsUIcM0tFqXkLGqms3dDQBWVXPSb8/OzkPw02jLot5e74oZT5iVlBjDZzev2dWTR3Vj2qlUjQZeLZeO4GLtPt1urx5cbl+9qJoaY5ZajcZud9dMMKHFcd8KKmpZVE3Nqda61LpsziVP+OT8IQCOY2+iJ1Q0s5k02UzjMPb6wRqDDclPUyzL8v64pUrExPrBVE2ZUmRMBDOlFDsz1stmiog0NRcP1pJ/8voTLOrtsE9KLlbLqet0XZ1+EUIRAJXgZjJKcuM9F6iqgpE0mml2dg6M1XXTt33CU6Uj+GCFBOfGnBli8j7HGCkVKUVKgSqlEDGGjEgIpd5HpOCddd4kjIQQYEQIJoWgJBeKzmdaa33+8JlqmqtHlyHFZj4LIUzWnqROIcTxsIsxtm2rGA3jmKZep8C3L+HNp3J3zXb3tU8q5kXdjPtR8erjj99Us6XU8nw5u1qV2tx893f+5c0P/7iGVAumhRa8FIRCBoIQUjbOOR+tdyGEUzONZNQbywhAxhQipZRAziS56GwyER0pqMNI64LNylzqrBWfNVAWjhCb86btAxegK1EveLUmRBVKQwi7u/uxHymT5WJVzZdcqJBT1x4Zo0iS1jrGeJrlrbXDMIzjGGxwk+kO+2noj8c9YwwR6nq2XC5XyzMptNYFIrHW9f34h3/wR1qXCQlyGhh8dP1qazqiWTi1/8ToffzFv/zLdTPb7Y/Gep/ysd2H4LRkNgxFI3bt5m53X1VVpbRgggHjlJOElxcPnPGlUCVV57NFtn5V1E1RSykRMaS0G9rEaT9MCNRYnzJhSmcqCFf7bnzx5s3mcAwJJ+/1ctFZvzPmvjff/vDjT+73ZLb87P5w8eRB5uLY9pzzpmmUKlShQwhaaymlsTYhRcIigAt+sk6VxXa7PTUZIyHW2pQS59yOE+cUaKrqEiihlCilKCXGjIQQ7qLjTKUMlAjTTbqobIgcIKWUErUxcJJYzhSz4DT7YdXouqEOMw2+aw+IaK3lXKzXF/vdsZDKDtP+7kYVBZA0bjYXkpHtXUXJur+FjEJwpcp+wmPnXcDVfJkwvfjkhpGfbze3QtjlUv78k/J6P+4/+sbNmx8//fKfK5ZPeJLA8hhCBOZzSj5zRiXnlLGYM1IaU+SKnyy+jNMQAsYUouUCCBAgOWTHC2GcnawhmhFkQoPPPDtKmQDAHCORoliuC6SPF9Xt9//IvvyYuqGpyubsYfX03dYnpuoZ45xkAEiZxOhziJTT436fc845rpbL5Pz5g6uy1D44a1xVNacDE+ecMnJ7d12WRV1Wm81ms9m9fPHqwXoNXHjMKQfB4fv3n/3U43dUWW2j5YOTuvzjb33z8mK9ORyfPn6y67vbzRZz7ofORHO/vVVVMYMCmIgJp3377jtPONBCyO54nKy53W0KqS7PLutm/uL+pprTxcXq7rC5nvY0p7//9V+Jx/Yn3/1Tobij7NgOuynMFnMmFRRVua7vNnez9XrXHwNJWNee5J/se1mKTz57PTG1bfcjsrouKEkAEEKgQiBROdMYvYuhvbu9vLwIefLjtKiL0bmhHZ4+f9db1yxrSnnf9865hw8fdP1RcT6ZEQCLsmSMbTeHUpXOj5wxGK1RqnEhF0VlQkw5UyAxxclE5yYluRZSKxVCLKQKmQnm/8k/+Se/8Lf+nta8qFfeBsapGSeSMYWohKzrOuc8dGOjKW07bXsRjPBZCAGE2uBjyowwmnOiBHPOiaSJCND39xsXyNm8agquKznQuP/4D+eXt7o8o807XNPdaGUx8zEkJDEnklkKgVJKMAMBxBRTRGSIiVKipWAAUwqAiVMSQuScV2WJGHKywTmuRc3nmGJdl5UQkvGUEh/b3avrNz/57vEn32Km51IKJUHpqe8YjVorgZExNpiQbMwxWe8AyWqxpIw0TTMcDxSyFFRKlVJAEqXkIYQYATNdr1eUUkpJ3ZQf/uTjs2buvY/e8UKEnGxMOZPvvf5kWF1d6dW5rCHZFPN6fU4pvTscls3svXe/sNndc86FxYIwdFEDE5SNk3k8X8pEzs9Xr1685IJSxUJOOZicxfLq/H7qXl6/cTx7AcBSF+M3vvOnD+uZnC18sFDI9rCVunDBx5AH72nMR+tcx7ZDC4ImgMV80ffdppv6TG66HqT2GY31dSnHfqCMH479YjZPKRnjCCFVVe6Ou2XBgQAXKnl3IuqfX1zd7m7KslZKGZ9SAkG1tfYUQpymIcY8nzdal33fcwA42ZGUrO53WyYLoaQgmQBlDAhGIdhkhpwSaE0pweAk59/85je8qP/6X/tLAaXW5Unrw5xjCJ8X4Th3tpjTbidDaFKSPjgQQBnhwKTiOXHPorWjN4gYo//m737za7/4Fcn6m5u7Yaqvrh4WgnHqIQ784Knderaary5EUe5MtjnLQlLGfEyEUkIBCWREQKSUxphOFqeUEhDUnBHCnHOl1i6kSKmzllNSzWubUHAuCBWMnc1m0QczjIfrj3/07T/k+zcs9AzJYlZzJY/tSCgvy8o5W5dqv9+7gGYY+74vK31xdiaEICTbcdJac86MHZUSKXqlikQyUFJWxdD1nHPGQEp1ff3aGFNcXBBveVX65IEzYCzl3BnzwZvPDnqvr75AeYk5bu5vla6fP32267sKFhdXlz/6yY9mBKp5TRmLGLWuD7hfzVdtCH4ypZYZSDv2XItMAFJYMCq0Otz2d8O2qutmvYw9dNY+Wp335m4wY7aMF2XCLLXcbTez1WKwziZSqoIFHSAZH9G4fddXy7mfpEefQgBZEka11hhDColRBcCm0SDBpmnaqXM+RcUYySGEE6ml79uqnp32gDmnajZ3U8iIBCli1lo6F7TWhBBCMiLyJKTxgXMRY5ZFDQCcAAEgyAkBH6LxSJj2AMYmwfiMs/fOG+223/7tfzPd3vyD/93/gWB+6/HThPDD9oNxMj6GkpEHF80CfHEc5tQHsGnO5tAQQk/2R8wyo6vmyzBmZywT4k/+6KOrp28/fff99Objw82rbne3Xi/PLx4/Llc+DBq3P/rt/0dx/tbTn/nrDy++NNQYwN9v3kxTTkJzrYLtC0E5ly4SRTFBAs5oU03jdAoV0VJhypqDoJKuKkIvhZIIohC8UhIxSUq7+119dvat3/0fztpPYnc3ApULpetm8EXiNWQfrbVj/6NXL2OMs9lstVxqpaRSwzAsn1xutlutG4/DFCxkJExpVTOElFLJELwtOT+tcm3wheAkeS7BBCyV9pOnlIScMuGgiyjAk3T92XdmrFhWzZcefCnao/TjrFksymo048+9/xXsjwAQYwAOVCqFzMXwYDZL6JH4fdcSAM7l7n731tsPe9tLLQiJkeDdcOwVeVo//NarT1dn53qxhpC9N4ynOx9roQ8xDEM7JOcogRh2mMzQBzMiRVmp+7Flpc6tIVxwzpQqpFx4NNPUi6LOTPFa+jBpqQY3Ch4woNaSA3XTcH5+WZal1OpCXiUCPiSXCOFESp0d1ZpZO0nJGSOUk4Q5pMi99wA0hBBTkkp6750Ln2tZEYUQKWYCSEimkHMiMeYY2LoRnx3bDz78048++MF7X/xy8Pb1zea0bZGC0xQxBuPaGU+ScK3nmfOpn5SShLLTdEwpnaYJEqQQGWTM5Pbm/uf/ytezyjSYYeoOx8H4m/V6vVjNEoSVgs31x9++PX75r8sHT9678+zy8q2PP/px1w8BSLLDajkriwqBa1WPyXgXE2ZCKFeaM5BS0IyKs1IXzhrKQSkVg6mUaorSOtd3x7rUM1n81Je//G++8ZuaRMVTVS+YriNtjkPf7g/z+fzkS5rXzWk3V1UVIWQ+n2MMhZYhOFlo59ysqlPKJGdZcjvFDGiMAcIo5ZTSfmhTSg8ePOj7cbWY77dbxCwERUSTAqVUSJkSAqeRhP3x/qa1F6vzh8urjL7fmcWsAWOdi/NZnTn3wbabXV2UNBKgoWnq7eiRBEp5Bh/TmCMe+4OoVFFUZDq67O1xxy1/6+oqSIoh5FJO7cQxE8V2wyGwbILxkFs3mR5f3r+stBaC1VVBFUvO7ruekM99EZxzAjkE9/n8Zm1d6xBCivlsffH6zUvn42JWTyZQoD6kh8t18BGAtUNXVk2KkUoxTUPyQdHPK2vLstwfW0ZjVVVUCHEyBJ06QwGAc4oIiCi4ijGfCkwBGKMEAAjJVcFKmTQ13hz/xT//Z25qp2lgjDX1fDmfz+tmVjZobTZ9qYALsNYbEziXET/Pkn/upOIcMmqm7OSsMdvtljT1arXSRSWEigF3u/7lm/32YIS+WNblmcLab3/tv/tvji++vxSsoOz544ezsjB9b8ah3R/u7u6MMW0/xoSyKFDwzBkrFC1U2cxU3WTKdFkJIRazZSmKZVXUUkKK7Xbz2WefCVUQLtZny/e+8IzkiZFIgPWeFudP1ufni/OzajZbrdd1Udd1XZVljkEIFoIz0zCZwU4DYKKU08wxQ13XlFLnXMghZQKUJsxMcCYkAbY+uyCE/JlPmVIWMSMClSoSGLw1JOV5YSvuFvpe5+9uXv77j7/7g9sXXsHeDGM0KPkYnI/BGKOlKpTSTJhoHIkgGdOcKvDRJBYPbbtcLvfHVihpsiWMBpK2Yxs0dwIGQWKlfS29lpalvetzwTfD3kLcDu1Nt2OlJpKjYJ0ZgdGmmcPJnEsYpZQiWGutdz75E1X+BJUJIXxOkRCCckk4L+er+fqCcFnMZoyJqmwQUQiRcogpWDeG4E6h0M1mc7obh6GjlHLvPaU8Z3J6sJ0SngDspH1zzk+LehIwBPSBcODrUkiMNYd+c/0//b//+3a3OSn91lqSMQdPgxfBcZJ9dFIrSZW1NieknLngEWiIkVAQTDhjFBdA2He/+739Zy+1KmaLpVQ6Aw2J+cgGKzrHebkqdFMBXvDp3/7T//uHv/dvyPaNwLQodSXE08ePF7O59/F46I/TMMVgIffORcUmgl0KhHJVaF1IZ6ZKl40sSqkl5STgm89ef+P3/+D6zd2+79phOBwOMfRakEWjgFekWEysIlxcXj1kXM6Wy7KpAWlRFLqs+r4/+RcZ0LosOAWSSFU1gsnz80vvQ0y4Xp8bYxCBEFoWFSI+ePAIgH31q199fX0NwJQsGBU5QcqQQjz9gV1MnZ0cI5OA1Ii8KCYJHx6u/+DFBx+1t2PJbMXf2G4PwZfKCdiNvYW878eb/eFgvJwtpkxu2qNeLFCwTXvkpa4Xc8pFppA5wYJ/56Mf/vrv/U6eFS1L11P/otu+2l8fw/DBi48m9Nf7DWrGCnV2dcFLHSgRVWFcGM1EkGagAKCU5pxrrRFRFTrlGKPv+z6lwDl3zlVlQygfre+Nn3wUReFC7IZhu92eChI4pwCnRRA/ZRCmyVLKgbDFYsE552aKStYpEsyMAgNCY8xCyJSi9xYohpCklIwxM3rBhdCV7cevvvVw6MLNEDmzP/rWN361Wf6n/4v/iqpmWdXX15/VoVsx0C4yzsgJNkvpbLH0McSMZVlH75QqnMXRBakLM3Z1UZu++3/9P//x3/xP//qztx83i2a5Pex68vD5lx88e06k3B62ML/f2+8Hd0/t3Z/8T/+tqJr3/8Z/kVX9xfPzcj6v6wZUM7j8ut9P1vBC7V+/9BsvBH325NGskCVlEaNpD8vVmUiBEna7a3/w7e984/d+n0vxC3/tr8bBOJlffPbpfr8RirCivu7z4vHq8vlP3dzcUMHmy9WsriYuKIUTuBoZt+P06PHT/WFbVZVzPUtRCqGUur+5b2YLM05ta+rZ6nR6u91shWB3m83jx48JBSnldneoypIKyYAn7zmB4ENOSXGRAU6KGeRUzEozeTZfXL73/uuXLzdp89kHnyZng5meXF5drc6dd1XV0OrCUjYhC0g2LhEkKGgbu5ywnDebQx85Q6BCMJciU8QV8Kv//l9xBtZaIQTjuZnXdb10wVdc3262VIn9GDkQ3TTO+6ePHv/kxz/xmXLBVaHXy5WmHIOXhSzrYhzH/eGwXi+lENNoco5lpTmnCLC+uHz44FJVJaV0Grq61s6PZd0E71MIddVE77QuzWRjzE099yEB8Pl8yYNHqdWxNUo1wVgA4f2UWCKEyM8RwJkQMk2TVsVoBgiRseL9Z1cexY9ftz98c7dent+8eW2MkVQfjEk+LOfK3NydCUkTZgrAqKDEhhRjppwnxJjTaRIFzighQhU5uFlV/+kfffuX/8pfMnbknAoln6yePHvn/SyLIcbjlBObPfnyXySqfvXJj2fzYPr2J7/7a5fPv1C/+/7Y3XtdP3//Z4SQnVKc4PF+S4wL41iUBRldlZGi229u/+g//O7f/zv/OQidQnr1wY/vP/mkSkEiXUBkpkXH3rz4rNSikav9xKharC+eZEJySNv98fHjR0oVsfKA6L2/vdtyoVUFNkQEpmQRy+iisy4AQKn18ThxUUgp99s3AHQ+XypVHI9HRLLdbqWU3nvg4L0HwsZp5FK5FLgSOURMiUqZciYAVNLJOzWrhmBe3F17EtrBHni6vr1elbXZ3e6indfzKOumkvVimcOCV9Uh277d7cLUDzuCNBxvhJJUaUkJUgDhc0x9HItGOeNQ0QCZCGKS01IyQs04cQRB6PZw5JxzYVMKanfoXSBIpVZcSs559BFj1FojBUqxqjSBlBHLSvZ9Ty1yCu+/9wWlFAD2fd9UhRCCM6AgOKcKFHJOMkIGKVTgOadsTfQhUspDcJxS3vcjEOFckELHkKTUBGKM8TQFn8JrjDGhIXFGKHBG1kI8OKvlfE2b+es2/vTX/7xSark8e/PiE6VUDBtFCUPCqAKGPqfkjI/gfECAU8M9UuDAQ8qQ0qlTbHJWcv6vf+3X/+4//M/qsmiaJjHhY/aI+2Hs2qGoZqvHD8r5cnF29vIHf1iAF9Oh8fvC7O5f9z/6+MV4PHzl6395VVX9bjdutqHtlkV5NV8umBA5J2fefPzhj7/z7U/efWc5OzPGffCtP5SJTJubD9+8evvp2dnZyvbj9v72EgPNwSaFoGOC7f29YLIuK87YiWjig0shTj5oSYEJyghM02a/W6/X037QWns72WkKHoWgUlKlFKWsLEtnQ1EUw9AVha6q6tGjJ9u7+5QSZ7wsKx8jL3UOERlFJJTSkCMBlhlkgkghU2Ki7dpjCvFuOJJC3U7te0/fAl0e3BRGnqXa751D6Dav5arwY0rZB8289yHHGdfVbB5SjBmtGbXWRVEMXc81F4QiIhVpcEYUIue0Wiybaja0XVnWbduGwQshJp+A6+hjUxT1bJYzkZxLCsaP4zgoLYQQiElKHrxLKTKm33n29tnZahzHaTJ1oZ1zmFM9LygXKacYM0lEcpFZdi5gBud88LmZzzb3Gy4Y7z3logzWS0lzdlxCjBFDopQwTpI1kuuMiTHmHZAMlEOIHqiqqQecfundRZsquci4+5TV5UITxfj87lAJxllinMKpqxEJABWMTyYQlAlDosT4iXEZERkVla6QOC7o9//ko//N/3b9yYsPkSKrDqJunCisi5fPL3NImCYztc+fPy9Fntr73d2dKsSCeye9X9Dv/eavfu+3/+Vf/Fv/8PWf/ul83sjghut++xnExWL8LqfJtK8+eOBe/3//m//L/d2ha50PI8bAILIU/u0/+v6s1HVVLJTnCMYwlArX5wPTphu5LiIBKrQPeb8bAYjgXElWlGVd1znFHOI0dtM0zEttTSh0aa0v5+XkbDu0kLK1bhzH1eoMCONMd607hvHtL7zngh/7bnP3hjBuJvv4ySPBtI0hZQQiBBc5x4yMAA7DQClr25YJNk09Ohec50Ltpp4JzjmMvg+7wJTMwFVRphjm83l/POQQOeers7PRWaRJIKMpCa8o4XbylAqgEHMGCiEB5XKcPAOCeZJSri7XFrKxPTqIPty/uWGM1WUJwaeh11UhmWiPG0qh4CLzJqforPej4wxnSlVcNlrY/lgqWS8b66aIsSiLmCnxWTLKYuRc55A5FTb6hHlxvgghmTCBZIkAP9nvnHPjaLSWQAnnXCkxmUFIuVjOvbeEZMo45QABEnpEITiZVyXjadsOSlBz/6m1XmCar85pBoWgABQQMw2MS0qpZDL4DJQXhbRtF3wiDJ0LMXhOSEpJ6gICn0YnpJKCMgzb29dTvKmb6vz5+7qpE8vHY9sf98mOgyO1VsSWR8YZsNOU/OjBQ+sQmHz9w2+E3Q2h6/3d3Un8ncpyd3tvh+17zy6uKna9ecFcrilEkTNkSRlJ6byqV4tmvVz04/3UdSSzRMTZ1dUYnNYzZGyapnHq7TR0XTebNSGEQpcnRSCGFEJSquCcNrokOLTdoHU5jiNSSCkJgJRSzqRtW8HVarWKMQKWtzfXz58//8H3vn95eblvu8Djbn+QUitdl3Vl3USZSBidccAZozwkZBSttcCFUuqENzLG2LLSnEvGc44chbXjqYgvWHNCxXLOh2EwzgEwrTVJ+XMvGGOUUkJQKZVSxJwZUMaYEhwyGmPGYTh7eFVI5SajhKSEFFou5g0jcHt7++jq/f1uF3PmlBPBMCbEpASPKU5DX1XF0ydPTp44IeSp8ARzkkKbaZrP56frzzkjZkr5KXsIGQHwxGowxnCl1DAMjDHvI6VUF8p7P/StlBxzmgZTVicZCglnhKHiopbl0cQcJgyklBKDISm3Xbuzo37ri0rXGgMLCZBrIZlUk4vOW0ILO1pK+SlHlnIGgBgjFxKBZRIp10DF1cOn99tNcCMJo0S/f/PJ2++9lwVeX78cj93d9V1wliEumiJ5Y0efM6FtP0yeUHE2mw2T7a9/nNr2evfpdrudRnszTCEElvBiXS/pup6r+5V6c71NjEZKCEPAtFzOz+fzWqswjdZkybSx1lHy4Oqx7ZEwHnyu6sJ7743lnMUYm7oOIY2jORxaTkEKPQ7HKUeSGBdK63x2fn59fas4F0IMh62Uuu/7pmmscc65EIIS8OzZs83tndZ6GCYhRFGBsb4fjsBHrUqhZDVjMRNWiBRzwIwZMpCUiVbqtB9MmD83a3PuYigl9d4qIQGI9y4mzxkgonMOOKcndcZHyUVT1dM0peBjjFIJZ2NKidMccwYASsrorBQCAY+bQyVL2iAi1nVdlqXSggGdxuKw3zJGpVYhhMlYhggAzk4puaooBWdlqdmJ9BaStZ4xYIyP44Q5tW1LgUkpMWHCDJBPKyprbQiBc8EoFSf2mpSyPXZFUSDi6Wat6xpJoBSEZCE4QjKShBSFYCn4MAZOm6aQMdhAWSWyi2EKfdixXony8dtzKaUQkFOh9bE3mVLG2GEwUuv9rs2ZUMqmcQgu6qJMMVDKnEcEzlRZzZfnT75wt71ZnF3eXN/d3rzab7d8kY5vPk0pHW8++c63v+vGYTabXV1colCZ4Orisl6ugZDb29vr62t3vDslA0+snzg575yEzOeSYSyYOlvUw/FgTRxTFJwXUs2roqykt/aw3fUhPLm67CcMvHCZ1otZe5wY50qVpwDxYjE/rUi2mztCqBAihZQj2e0OPhg4n3MeZ82i78eTApxCkKrouq5u5oxLXbK2bQGACt52vVLq6z//F379X/6GVFpr7XxuFkXOxPloRk+l4JwHH4fJVGXjok8xSkZDCGVZcilCCJmgj4EFWkgVc0gRSQxS6BR9cFZKGSISQmKMDCgi2FOAgqGWnHPtnLXWck4ZQcQEQAulh2EQhOpGjmPgQIqyhJyqqsokpeiGzqQYlRQphtF5YDSEBAA8e0oJYFgt5kCyGQdMmXIefFRKIZqcARFXq9XxeMgxE5o3m81ytpRSAwDmWFZ1ihhCON2sTdPw3W53GpYBGCFZSplzdsZyQWJOUtGUUqG1lHpMPsSguBhdYDIVWkzWB6YEQfS+ThIEb9+8eLw8J7OGUpYJ+ARcShuRUOHTGKwjwNquU5IHnyjl1k+F0sHZhJywUlfkw89ul2/9+V+8fAr5+J0/+aPNsfv0zatzktx0yCkIMMsKX272R2eWVc1UDsBev7r+q1/+WUJZpuLmbuMdANHb+7u6npvJUVCCi5Snw2Ba6+t5U63W8OYmTr6ZN3Vdr+bL/th+8uJle+iiD2fnC+sCyprV6ylDCIEyQhC6riWENE2ttHDO9f0kJD21nAOS/b5FTEVR2Igl55vdUUqZU7bWai2VKt555/Lu7u5EuizL0jlnrL+8ONvc3F6dXfzMV7/60UcfSV2uuLbWCi2GYdBls93vQ0jVcg4ISBIHSkjOmUREzvlsNtvt9yFFEzznjGaWfaaESi77cYox+phidoThNE1S6xgjZFpq7a3DFL33oi4Uo9W8Pmk0AXPwCYA9OH+E2QPJ81mTpgkDlZSYsWvmixACAmGcn7TAlKKgotDCGEOiVUWhypkUDFM4e3AFKabol4uF954SUIJ7n804USqQJWOtLisqeMSIGRljOSZrDGeQgs8EKWf8hAaeplHrUmuZchRC5BQY44RgSiil5lw65xgFKWRKabVYdDZzoJMdKZcuJMYkUCTRL2R9piVVgghBEomEmJCVLkdjpZQxZuud1mXwEwA1ZswkTdYyAOACMbe91UVzPLrF2SWJWq8fXc3OfLKlRqa576dmpt96/uh8tex7RwhiCsaNrJxNIczmzfnl5Xy5nLYbY4zQiklecb7f75tmPk7RxmRcHKyljFVVlZzX5YxmsIPf3h+O2za4yDlTDBglQklLGAgdXU4pTaP5M7LAyWrunCMkl6XUuow+zJurFF3XHVMmSMB6lxIKBlJK55wQ6tj21jkhpVAyTJMqNGI6HFqp1PawXywWj548u7m5mTUVZ+CCXa5mzkYGqMvCWUcYHe/vyrLWQrbjsSoLAlxKqbV23qSUQk40J8oZYzLEnCJKVQCliaBPU72cO+sJpZwLSimhUCrFGQjGY4zeOinEqRCuqYtS1UoW4xAYZT74nF2OmQvxOQY8nZjXOFmTCTIOfXdUSiBi3ZRaqqqqqkIVSq4XS++9sZO1UkopBHPeppSMRcpk0zSnApYQ3EkhkpLnHIuiGMfx4uLKWhtjpKeeirIspZQppZQSIhJCY4wA9PQvYUzkTHJETJkS8N5nREIBEWsFiiHB1FQ1I3i1bNaFykAiZhtiN9qMcOxGHxNw5qxnTBBCgLCTxHfy81LgwzghoavlGoExIjDSfoqiXMyWq0JzkZ0sC14IKuh8URGKVV1WVYUpKSGcc/tDa13Yd73PuF7OSi1Xi1pLAsSerauc+uXZ8sHjR5v9LmGaz+cPHlxeXJxBpN2u/+gnn4yHkSTalPW8nHGaKaWqqJ4+e2syDhGCdSGE/X4/DENd16cFHKU0YxjGznvbdcemqU6+3QzkxGI9xeVOU9OfBWqPx+OJcu29PR475/0wDIQQruR77733Mz/zs4fdXjB6vl57OzEO6+ViMZ8XWs6qUgmeggveUiCCgveeUrpcLoExF/xkzDRNCWjbd8d+cCEYY7jSwzRyJZ1zJ2YypRQYo5SejN4AkFJQSnFBm1lV17UQIqV0PB5zxBg953Q2ayjDUyneaCZrvLGxm8aQc8ipbVtOieR0NWtmddM0zXo5Pzs7K6Q6Ho8xBSmltdY6QwABsCgUYvIxjuMI/3HnaIzx3kv2eSJeCGHddLpIrrjAGE7bIA6cUYCEiVHgJ/U41UXtBkezDNnYLItyFkOUFBODRHM/drqokwtcalrKy8eXtJaKKYoMMVLg3WCAcWO9iYmLiiQ3+jHF6GKKwQNBApAlgJA5UdObpT77t//q1/+L/9V/Ph7vXXezvHooxBNSzxePrjJ/ScXOwO0Xvrxu2/7QjlHk7HFVLDAhFZSXcn65OqArlJDR84ze+5TymglZzyCHWsvI6zfbOxf5JzebaZuM80KI7EKjea1g2ahH59VUnt3kWdlcNKpsbaounpDjbn15ITkfzOCMaQ/HxWIxo7oPaTzu+37Y7Cvv/Ww246bniqHJTVX1x36+aJRQ1k9ScqEXKSVOiZ2MM+FyppgqEWbGuEYX5ni7FuT95+cvXt1+fH29PLvkSjliQhwfnV/0wySXq2PXzebrvh87EwmEnBIQtpqfTW7qpyEC5uNOSlU0uipKADBjf/VgzZmywQ/T6LwXWuWQ5vO5koxzHqOvqiokb+3kQ0igYgw+TUWhQrDJOsG5i8Gn7HxkLMGp5NW7SNBbxwCrqlpXxawqOElnjy6W88XU9ZrT1cWju+0mpjTT1WhGxERoEkrGkJUsXYgnH7eWirHPeYZlOeunnpBs/aSbop8GBMZPhgYuKKUip8yYyAmFED5MTMJpRX/qIBO6DJESQpQSx74TqhBCWZNtPwhVMUp1obTW3rpiVuWQrfFKSkppyIRyRgL4GJxzAIzSfDIKIHFCcGMmpdQJlOet++/+0T9ar+R8xb7zrT9Yr1ZP3n7v6XyxevREYmopgLNXF5dc7crG+RA2u66cXzAuCQglq7ffff+Ws+3mDoOfFyXnIiey3W4TExRYWWqCeNzs0Bvio5aCU0IpdYlIAUoyXfBuPDjSZL3gXL56dZMQnjyrkhTOjB4JJZlDns9KzI4qfcp7PHz48PTBOVdVFQeefc45S8VTSsZMSJKUEjjr+zYTcjjsyqKgsgCAHBMGP5+VZEDT7ecSzypeyJVF7IdxdHY+n/uMmQGl7NmzZ2ZyWsvgSMSEiMEHF5PWZc6ZMjqOo/dhGKZO6KJQlFKYDGdJlcVsNks55xDni2W0rm0Pp5oKVegQXAYymIlAFoITQqfJpuAFY9HFED2hHDnjQlprPzdqkjSrCwCoC60lxZgWZ4uiKE4C4alVgnPOhTi9cDJB7z1jQgilhOrHiXOutZRSjuNIgHDGDn1HIDMGZVmmlDhlBAn/nJOYEmOMIJ7sJNlbxkhKqCTPOQNQSokzFqlKZhRCrOaLg4talbvdjksNIYVgzq+upJRSypRQSK0U+phVUdrBZgQfAzCZgRJGo09UcG/HGEZr4T/aqeJprXi5WPzmr/3af/m//BVJyPH+fr87DsPwtV/8G5WuBiYWy3XKcHZxfr/dl1yiqBA0KwoAVpazBBw4m8+XjVJuHIINOWIhdGdtP7bTAUmwi6KYzZvQtve3XQ5ZIOGSX65mF6t5Cv5+P47xOL/6yvZoEIQARO8ZkLqsjB210NvN3aOHl8EakhkXIiOmFAlBpSSlNEfsuo6CPDHRJeeOg1JVSB59ODs7G46Hs/UaMhLKpNZT15EwEhvSsAvHjcjxshGbzjdF4Y5TG7MNWReiqqVQGhGrWdM0TU4JKPU+Htr+9JaczUWILlvfdQOjwouYcwbAoASlFoeWCX4ytTgzkozROaUFoWCDzzkRQhAo5mT86XPOhMYEiDSJghKI0Q/WEcyISJEsmkophSmXWjLMT58+uDhbOxJLXRx3+xRjNw6nUZAm4pLnhBVVUxRFu29TSJzTqipOWNC2bZdn65DziRlmzJhzmgkJKedEOCG5KJW1FgCRkBPX4TQbVHUNFPE/YhEopbouUiYA0HYH0HM72s1xeHBZGxcX83ldzTkXhJCMrG2HnEhGiAQpF4iEKzZOBoEkzN04KEEyIUIJzPlzCgMhzjnM2Q3TB9/7wfVf+tlK6d53mO0HP/hec/6gUny/36IbpeRIAWg+lTa33SCycFWduQBAAdQGvxuGbFww7uZmg4i9M327s2Y4nzcP330bnYWUSyk5JiUYEPbgfJVjmMb+eHTFs7koF15WRLKyLPocvQ+XF2vCZXc8IOPtMHLKrtZnr1+/1longifyxTB2Tx89dM5pWWhd7u82UVDElFKgBJgU95tbmhBIjs7bGEjKyfaNIMPmtT3csWhFjiGwmRBjsOtZ008OEKz3ALA7HKVW6+UqxQyEOBeMC+v1GSHEOBtjtNYsqsY5d9gdY8zDMAghYoycU0op8V5KGTGS0zuTERcJYyynTAh474UQzjmuJFCaIhJCbQiKCwJgjBE0E0ySMcG4UFKQwEkqm3Icx+dvPRNCAEB0wSCZzWZd1xljrLV1XVdNcbfdUOAAAMBSShGjD3Yh5lVVbva7et4457TWjIPSMmPUQobJVmVpjeFIQkqZc2LswIAVRWFNpziUWtpp0FrH6EMIRVEIzrwdmRDeB0ppxLRerz/55g90c1HpygZWlDOgUuiqt6iLxkwuBtKNJgMPGffHnp209ZyKpmqPGyXZNAXBWIwpBY85YU7BmaEzrW1/93e/+Xf/zi9zdX+/2TBKuv0tnTeAvht2N9dv7GQQcbeznEkA7iJdXVy9/cX3dVP96Td/304ThjgeOzO6k3drmMYMURfiBKgpEKuibI9D3eiZLp49etjutjdvbkMIHJYlW67UvCwqAzRBmlLY396HyYmiDJk9ev7ufncfU7w/7Ihgo7NVURKI3juS4ub+NsdkkgnWIQmYAbMfBwOUOm/mi0V0LvpYlYVzLvZ7MC1k8/JH375Yzg7tjhYVJOQ5a0qHCZ+eLVU9vz8eE8H1fO5C2N0fTsnM1dkDVcSY8OzsIkZ/7I8ITEFiTDTN0rtgphEA9/u9856kTCk1lHIlMyIA0IQnGSklTDlzzp31mFOwlhDCOATnKRLjXSFZU3JIqdYlF5QAA87eevKMEJIRGKWSixRc27aU08G5jiAhxNt42hbbYFMKNtBD3+tiAMyS84pyKXG7uaGM5kyVklKKnOM49JIJTCTGaKZRKcV1IYwxUvKqUmM/EaKBZsGEYDzTFH2gnJaVphQwBsY4kiAkcsISZl1IqufH0YfIivKsahYx00ypVmWMGSlFQnRZ+QzOOik1YRSTA8oRQlEUPhjMYgqepJhTCN4xwBCC1JUdtv/u9/7gb/zKL108fDKFPDhzdnYmOG0PQDKrZJV627VdMsH7LriIhC4qMVfJmeOw3QJiCp5hrgoVQ04Ea11kloSgzrluGu8PO00IY6wuylnTjON4f7PzDikrJK+Yi+OLz+q154CZc0WhmtdE8HJWHcaJIUJOIbgx+M/hLTlFF5J3AOT0KALEsqgIJkZz31sp1Xa/K4oiY0JEpZQSfNzdnq1n1vrN9WeloGYaBZcB5GANZYrkUHJGWD5ubx49fHxse6TQGctFgQhV2Rz2LQLpumHWLMumJn1XFBUHTyn3LjTNXArBGL24uEhpdJNpj8dhGPrecCkY5xxowgwAKSICIMBpAMCcEDGmLAlRnEouS4i1AohEsriYL88fPnQpPX7w4NX19dBPRVUOQyc59TlprrXWo5koY2YYCyHdZLiiTPAQY13XjFNMkQmahsn247ypjt1grakYs3FCkpQsrHV1KRHRBR+j58aMRVHE6DOiLmTOkVISoqOBANC6ric7EkIACNAcs6eMc8Gc9ykxQhNwebvdP1hdqKIMkei6zISHEDiXOZGY0froM7gQqeDjYGKKxhhnhxQNoxhCDiFJznN2p3T5NA0OSGZyszt88vLNL/7C1x4+e3J7d0dQzJrFWI+Hm3uKgmTGMufZASYp6TRZ227icLjb3KGzSqqirrtuokygZkhZstFli5CMs5PjKaXLs7WgUjFKKT3sjzEiF5WSmqkavZ9ev/TXt1pr4JowRp9cLppLIClJ1m7uCkFJQMalMYYzmnOsqyJYQwghAHVVdMcjpVMMjilx4irO6qbtuxB8XVaqUNbauhDD9q69eyVypFIEH5mQxiMRer5cE+Bvnz20iB9+/OLuzeuEwIrqyeNHPjIXYko0ZjefLymIrus2+521Riqec2SMMZabpnnr+dObm+uiKI5He35+fn52FkI4tm07Db2ZrHUnxmpGONVdx0y0pEgI5xRTLhWXBASjDSU1BylFXemnzx6Wi+WhGzf3t4LSZla1x/60Sl8sFjFHqXXMyVirlFJSQcrD0C2Wq0Pbcy4pQyFFWenOTJxB8GFW1TkPZVEM41hoEUJoqjpn5JwjyTH6E8OW5EwF8BhDWRU5IXrLMgnJm7GnggMBRORCISERSQbGBQgGKUedsJ3SscD15XMG3A1eFiUAmUws6uVw3BKZJXBC1cGGyBEJTSmF6EmOlMEUJgY4mJ7l6JyLKYfM+qlXtKrE4v/23/7qSIuf/sqXHv30syMKzZfVo0Z2g5xvmPA+bHWQU4z1fMn1RGnujjcsjkWRYjJZyNXDSzu5QipEHKYN+BQTMqZygqJeZKZKZXMgx3YiWF8+envWrGfNOoOilBljvLULTnDqou3MT17dfxAOupy/89589SQwGYo5SXa+mJGcvHMhJCp0VVXUJze5gARSFFoRJBSBMjiOLkZWlk0a+2z2IljVfWqncYlhMD3h1egxM3roAhJ68c6jjIBVDXb6hV/8ufnZ6v/3G/92d2xvjscvfvlrv/DX/86nb3bf+8EPM6ZFNR+GoywFQhJMOuuAEK6L+922O7YEkzNWcJlCHrq9lJwLUhV6tVo4mwDBe08JkYIm7zinKTLGEbOjOVxV+clq9vzq8mET/NgfNzsC9rB92Tq3s7hYrGKM2U6LujrRpbuuCyQsOETvOBCgzMUQQihmCyKUKhGBBW9sDN5apGIKxPvMMFSq9sY2SvXDIIRIwVJKkfgYY1EUnBCKmVBCU8pFUY7DpJQShbDjVBSFT5EGFEJQwhSX0XmgxBkLAAiQk88pEsyrWaMkJzmXRQGCpUwkoSklVRTJGh+SMZ4yyRkbpokyQgjx3o/TFGMIKTCMozUnXo8LnjFqfeRM9MPwb/717xz64e/+3b+jFhcO9GxWPH3ni/cvo6SQMtnCZrZaCiHaHhBDP411XSql0HpKwdqpKErIoJSisKjKTLkkObOUBKL3UfHGe1/Nz5ribN48njcXQD5ffCAOgnmIQ6ZeakBjlpRl77rvf3f1Rabm60BluZg7YxNJOWfv/cmes1KFd4bEAIIrrQCJ0IXmNEXy4GrW7rZvXS7D8a7r9slNyVlOWVnWN9vOJe6ITVm4FO7u7lbr80cPLqXkFEg5m/3tv/23//F//6v9YD/55LO/+fean/7K4y//3F/88MMfbTe37fEuuu7u+jUDU1cyxhiCqSrtnKNACAUbPWeQGUYSCcmU5RQtZgRCtIBCKoyOSMI4Fiqn7JtSPLp8/t7D1VoJiDZMg5tMxjhME8zqiDmdIt0A3kfvbVmWJ/o7BvA+zmaLvu8Xi0WMcZqG995797PPXo5jz7kcurauKsyQUjrFBYqimMxYVZW3pizLP2OBrddL731KiVMQ3vtCaWMMTZ5SDsCcn0ShCaMUKedcMu69dwQQgQILyZRFBcCIkKVU0zg8e/JYc6a1HKeexzxEgqgyoZOzPkagglA2jB3JcHIweG8JQQY0keyDj8nnHL33UhVIiXGeANgQd62Z3x9/+P2Pj4f/z3/2D/+rx48XVNdIpa7nh6GbnZ3HiFqVKSVa8GkapFJFVS4XzeHYK8HKspzP1jlEAGCFEro4dm2MMUbjvDtbLhTUiRihV+uH70pxpeszKSpiJxOOqqg6v5lXOoFAP3J04EcShrWUr3/47Qdf+4ugazuOOafVcnnvfD8ZrGrI6IJvmoZQAABrPaesrBqZrFrUipGLq6W/+ywcbvLxjkBKziGlyIQ1cQgpcxGJEFr1fX/14MFbz59676wZnctS6F/6pV/+jX/1P6ui/OGPPqjPH88evyeXlw3w5+99YfPmgy/91LubN69CnLquSymNo0kkM8Yp5ePgU8rICQhgITdaeh/LmeSUkZhKIdLkHl49FJw+WRVSirrkmuc5j3k8QvTjMCKmnDPlrJjPyGzd7Ydu6KdpKopCFaUuqxPwutEypdR1PWPUe6uU0oX87LNPrLUAxDlTlvXJXtc088PhMJstGGUxRgCMMSaMUkpKSVlqa09V8gOnIBlkY1ypK0CUnBFCxuCXdeUmUxRVtG50pipKRAJAvfezZt62LRGEMMEJPri8evft50VRtId9OVslSpTUMbFMWDaj8x4YAQDJ2TBMpz2rGUZKY1GyMZqYHANEyFwyl5yPjnIYrRdSE87vNt3izBj75n/4p//sa1/96i//wi9Imoq64JcXyVmtypPLYbZeOmeCt8v1eVMVfT/WVdEsLpQsciaCsvZuH12cejNOfU5Ec7Y6f2gM03zx6PEXGZ03zfPg6egyNRL4iitXzwQnE6Y8GiuYojBd1U172JzLav/pj2fvf9kEhjkxoEoWs2YRQy7LchpGAqwqm2maKCEnHUTagZKsFXPd1m5fUdcVyWQglIAxdnKmXqymw+ADGbMvKOv6Xgjxne9852d/9me99YzLdrP78k9/9T/8/p/04/RH3/qT//X//pdeGG5o5WX48Hb3pS985Q///W9WUsyW5dnlwtnBOYdAfCQx5RRXkHPwEwZHYqqKchjGUovgfPah3x2+8OzBrFC1FsuKCgZS5FqxPLaCxJhMTsE7FxNmynpjTdj5RGOIVVUppYwxZnKMimHohRDj1C+XS0JyXZbOmeNuLwvpfMyYlFKrxdnU9YfDYbWcSamHfpSMc86nafLBSqpO20Yp5fHYnRo6eQo5ZwJIY4wYvCekmVWnSJ4QwhhTljUNyWcSY2RKJ6TH40CpULxuHfm5r/75s4dP8qkxsZl1/UhEjpA5K0NKhAKlzHnvA3XeAsmAwTojJKOQdpt7nj3JbrImUZJznrxPmQzeZkp762Kkh9300Ycvrx5dsU8//O03Lz75zh98+UsPGJj1slZCF1UdKCMpB+ua2co7s9u36+UqJ2pjzjm/ePGKczkMw/5mF2J0zhHKpK7eefetreXnl8+/+Oy9wRDnxPKtL1aiqYv69sOb++s3n/zoB244NsxonrlsrDMu9sfuIAizx61z9uNu9+Av/K3gohsnb70QEgiSjMaG5EPBoWAgwLGcjB9msd/evulShGhyv0eMNGPnvfXZODJ6EqKnrFAcgJbWjCml7tjvj22M7NHTp5+8vpH1Amnxf/w//Z//r//1f63t+OPvf1e88wtTALV6egxiFFfPv/YrQ3ff3nzX5uQme7YQIYzzRZGRRc+ccyEIjMASGfuJk/ziww8E56u6+cp7b80Fn5eSYFrOmxStpEhSklJP1hqPLBNEZIW2UxRCG+NDZs1sDgDTZItyZo1zIXNZHZdkKgAAhMBJREFUAATGmHPOe8s+J3KWCVNVljrnqqqmYQDA8/XZMEyFLqc8ISLjLAQDgM5OjpCyrJ21gvHN3bYoCi4kU6S0dtJS+pyaWeWmSQlBCTDGlCqGyUkpvfEAGJzzmCqlMMFkU1mtH5QPEvCQkCCdRst1ZSJJKVtnpSqd9YwxjiwjIRlzTt57QZlLcfITYywHT4EoJWwKLviEKSGGnELOPuaQESHvj+3ybOnGhEF3XffiVWLMDXapdXm82wjGGdDsAwcSvKGAJWN9399v28UZOJe6dtxsdhhTyAkBcsYUYYy84LP1o/eJXpphOrt6qpt1VTRTN+y6MTDx9nvvH+6vQ3t9f/2p911VBM6LJGrre2BKZqJHG6wtZRFcXCxWwzSaqR/aY9/unlxdFCRwO/n9NeUpD0djXOEdJD+NA6dsMJ4zmYhMxLvMCOPGBBs9ZZJVwIAXpY4xqnL24tX9YYyzi+fz9cOM3Fh3dXHuYvjut/7o7/3cX928OtjJXl0+bUdP6EyUTM/scHydwtAPwfZHukyTNTkm46xgp9Kc6dWnrx5cPlzPF6vF8nK9hhCqUlNKFKOUQMooBCcpWxNjTDnBZA3XRT9YKgsCfL1aFQEmN1HK67r2PgIw7yMhRLKoBF8t5oytdrudEELxYpiGSDKhSCAXpeBEYsL7+3uttRDCTYZxzjlHSpwzAMw5M02o1cm2kunJPIKI49gTyDkE5w2jJKfknTv5l2PCTIEriUCretZ2PVCOmRHChZApZQrcx0QoDNM4WccYE0JM03QK1J9KlFMKpz7taRoopVIISukJCmfddDLLEEIykITZxzhNU86ZMOqcbduDrspE8OZuw7iS1Twyefn8C0M/vbm+/f73fvTis1ff+c73PvrJR4dDW5Z1UzV9N3aHDjM5HocYs4meMpEp1IsFyPJu1zLZLM+fSn0my3OQM0RhXYwRiWBA+eg8UB5iPru8VLo6HsZtZ4+OeFoET8AGbszUdwTRWrvdbnPOTT1DxGXJeRi47aC7E8Ob6eX35fFl7DbEdMQPMvsUAmWqM2GcnHHJR6RMnYwNiHg6gFKkNzd3OZGI9M319nf+/Tf++f/4Lz74+JP9/vgrv/IrkrO+O7rtm4bnhRam7XfbjvHKOErEY6mfrs6+sFo9Puza476HgMmPWsL52YJxePnyZYxxt9spIQXnjNK6qoQQnDLGWPCWEQjOeeumYUghI2JRNTEkIXXKxNnUt0OhSu99URRlWT548MBaa61HhKLUBNB733VdCGma7CnCzrk005RztuN0d3s99t2ps937iP/xvHUK15+E+5MuVRRFSomGZI/DkUvBRFGU9eQ9lzplorQWQgRvETMhhCndW0FAoUtni6vJlaR+BPXTMZTGs5jooTNd5GNmFtN9N2yH1mRHdWkzOExT6FgEP9rgHWFkNGOM3pkp5mScR8IJCB/R+TAZh4LZ5Hz2p+oZQmB7e7jfpHp+UTX1ru1Gi4kUL292gfHEhWhmmQtkwiY62dSH2DszX9WzeZkw6VldnZ3r+bqYz9cXV6gKdn751ld/6Qtf/0+IOP/09d6HrKXiXA8j7tq83/Uv37yOBFFJuXhgSA3lEquLPhS946930z4QRySi8sM25Wl9uWSCm25qd7vFcva1B7XcfhJefjfcfJDbrabU2uAyTjFOISemA6GT9d7HzrnJJRegHd04hZhIQoguxOg7ezh098hSCg597ra7YX/7a7/6z25uX07Wfe3P/bkC03e++a//6tff/oN/+0+FfUnGTbS+rs4JkT6XyB6+udfvfuGvdQf2wXdfD3tru/zB9z/57d/43c3rbcmqmWpWxeK8Wi6KulISkFRVxZgQXHeD7aeIIF3IfWcwZDdGJTgBz7UOoomUTeNOSGrd0LbtixcvEDKwlNAF4lUhy7pcLpdC6kxFIGyYIgV1vn68nF16HxereSCeBVsxkqeWZlNJ4BgqJbTiUhDBYRyOjEZr+pwsJ4RoLXMmQ98BLRkAEwwg9X2vpFwulyHTjNTnLDijJA3DFCOtz96RxaobYzcaJoVLhHC5PRzPzi+P2w3XgiC60VS1yjmHEBJm670PjguRxkQpJYQSAilmwWWIfhrHRAjnnCEJzkJGSgApFUJwzqOzL169VBqeP7toj2NIyYa4vkBWFCSi5npqj6IqtOInrkvR1KUPTPNCSuIT9yiaUjIpeMEz1FfvvfeVn1uePTjcDW0/PXt8TpnMiZhh9NbPZ8u+P2SCiBBCipit9wmJkGryOE42x34+nzPGfDvoZ+r25t4TuawL8JHb7s3dj/v9PXUDC1N0ExM8I/jQCa5STqObRpsCsimGAKVPycacMCciCEDKWSDJ3gOk6J3db/v9YKY8bDai1IrCJz/6/td/6a8prZlUf+3n/8KLH37/zQ+/093cffXrf0nKeDi0zg4sus2bTQpd77bRmPlsOfZm6Cau1Pvv/uzt69vgMpTiZOthAIyAYDR6H4JLgIgIQO/v70UGypkPFmjyzlZFFYncDL0nsFzOKl0550/OIkrh9M5klEbvt9vtvJnnnItCcS5jcN5b66LzpixLzgUlpmjqbhyQYgb0KWTMiSAwaienijIjxpwIBWCUy0KP44gRV2drjCGl0I9jU6myLL1z4zgSpkJEEJIDppS4UHq2RDlrDe0tMQjgU8qxmi2bstjuDzERRDKOvZLVZr/7vAmOUCYYUOqcSykBId77GDIAQ8w5Z6UUxpBjogQUF0kSlTAgpUgpJUwVh8Pxww+zkHS51sh9PRcvP315drao1yXFU6WsBZK4gMypbArS90wXPpCqmpWEEV16m2KiWjRf+tovXTx+J+aiPe5iIARUzNz65Fww42Sck7pIfsonLpXgTHAqRUqEMImqHG1XccmUkomu56u2t1oo326a0IM9hGEj4kiTT84xgOAiYTyFGGPMhLqYTUKTkvXJMeITEiqi90KwaZoAIPnIRZaSScn87g13acH1V95eAGU2w1zluWar1arrOpi63/wf//mlwosa2x//Hr9bC8Zns0pKnpZkHMmQWYDKeiPFxcnZlHO+XD9czRrMebU8YwxPtSMuGSopxhgxBWdyIEII3485BCAEswcSlvNiPLgYCFWV8UbTklJ6bDspSyRECMEFRcTJ2mCDGQ0Am8zw5NmzfoiUSYgAOY/jQClNKZRcTtMAAFIK730IjjHw3s9mixOy6kSg9z7zGH3OuSgrAAgpxeBPfQDGGCVljDFER4C7aWq08DHLYuGyyFj0gY6RJU5jyEKXk4smOK2bRGxmlApJKFNKT9PkjZNS2hQIoz7FnDNmQhLhVKTIvZ9SipFERihVBcZEKckwhYw5JC5EURQE6e3upu3GH/zwwy99+Z15LqfxxdtvPx9dlFIu5jMuhRuPnJHoJ+QyJoyUbrqOyVIgcilENWOcMFIsLp/NL57pYu17//r1NVAlVdO2rjWGxOR8MM6niM4YGmPXdSn13TgkEicfYs4uIq/mvFnYEJ4/enq32y0fPN62Rxq60N8Wrs1hisOh4IxLnhF8igS4kPWx62OKLkEXMFNmE5ipYwRSSpXWOQxzgUKIJ08vmrogJHJBC6VjIN5nypHrIrMiCzrcffLez3w9Pbv6nf/5X0Lqvvh85W37M+9/oeSsUMolxzjaEDpCKjHfd31VNj6QE2MrBl+vVst5PfWd0Cp7wynjFLNLhObk7NgfKKX9NGklAGMIXgpGMFQFb2SuJS5KGXUBijnrCCGz2axt+/XZBWUkpdQ0FWPi7vqGSeqsU0rtNncMMskhZ2RUzudzO06CshBc0zTW2mHsZrMGAFNKlAupFSHE+TBME7WmKAoerKu0MuMg6loAQQAu2Ik2f2KKFEUREyGcpEwSER6qLJZ9UoNjLopAUKqSMWmcP788P7Y949X9bs+5DO5IM6eUMqEjQcIZkRwEywRSjJghOk+QUiolwxyCTzlhBKDRRwmiVMT6UTCeEy2K8ovvfeXVm9dDnz748e077zw6P2vurveLB0uhi7GPTVmXq5rkQCBmks/OH/ae4+CKelk250pXXZJFXZ6fvV2vHs5mVzRBe3e3efPm8dMveIdAi/vNLQkhWXt/c13wxJMfDzs7tYwGH53xbT92ANlTtlg9IGU1dgdYrnip2t3rpQJ099JvY3tLkhWMxBiDR+MxZvQ5+MCM5RGID8mEgBhCxCdzWtfl5cVZIUVOgSJBhBgs515IFoJl6GdVgSUWRZUyMgk2GdO9+vE3tveHFnI6X6pZzZVeni+ZYjSFUQFFSjgnoq50FPPFxeZwTMZRyhHTajYrBUY/zpd1zlgUFaM5jEPJkcaQ3aAgmNFpzqLpORBKILvQKHj2YDkMx4ui2Xpss/NBfN5xz2CxWPRDG0LgnHJOY/BN1aTgSy0AkOZIOTo3aiE5ZJLATg4RCcla08m6i8sHfd8rVUopK4D7+/tTAGm9mE/TJBnlUvCckpLSGsMJ5piA0c/RgdbGGCM6xhWllBJBMovId+2YizMbEwGRPEYgznugzAeksiCEAjBEwpiImQip+r7NIXpiU04nFlwICULkVDgbCGBMkTJ6ooFjRIoECXDKBOdSaqCCAscsnj5599h1bbfZ7fpCSTtNAdNQjJILU+pScyVEjtZjiJFX9TJhSFlsti0Tjs0ePX745Oz8mSrX2aE3w+HNK9PuZ5XOOQ993xvPUgrOkRydMbvtHQmWp2hiBzTH5ELwMXqgfLZcmmhASFpWXJLsW90Pqd9w12GOLhMfYorgfZqmZELwKfusJmuAiZA8ZqIleefZ5bOLeUqxKsQ09pWSn5etEgoAirNS1i7Fsq6stZFxQimhrFIakM5KVer13hoAaIf+bHEJjCOT3maKkjOVUkLgZVXv2m7WLKNwdrJa1UKpEMbl8kyyjM4BZorEpyAEJTmWUvbDniQHlAtAb53kJPjp8sFyXVcyu/vBCaLqanU3TEII7yOAs8ZbH6qqOLHpKGGc81Kr7ngoSmW9YQiS0ZzjZIbo0BhzSr/N54Vz4XgYGKfz+TqlEMxEUhZCTP3w3nvvXV9fp5i4t07rglKSA1IglGROySl9cUrNn5JfKadMRN0s2yBk2exGq8q18xh9opC41iDkZIOuauOdYDylHEKkTCEQoXRknuVkOxtiFEJQpTLiNI2E0HzqhksJMyHACKGckZQiA8g5nwjlQiilq6qq5suzTz5Jd7dtobgSBDi5v77nwOqq1IKXhSIkE4UpMkLg0PmUmEvQLIsnF4+a+oyADJ4ozIf7u+3rl9YMi1kzqxvOWXB06g9+ytYanh3mCJijd6MdMo7d8XCKll9cnUutuuMopMxASXR1Dv7+jRr77EaIIWAeRkOpHKaQEvGRTDY5sMah0qEo5TvPH67mOkUnAHP2QOis0cYYjJgSNmruUyRIBS8iRuuSlPXG01Jpn0nNlQCRSZaCPVtchBRXyzmjIgQWAsbEhahcJIRJJKwbRkIF52K5mo3KUAIUoWyUDyNkKITgOQGGsigYsSnloTtC9pwkToX1LnuXEqYcC8EF5HmpR+skpTYmwXkIHhEYY8vlshvGolDGmL7vC6UhxeBsTN57dMYCRynlNJqqqBGZElJwEUG0bQcAiJAitsceKJq2E4xjyvNmtt/u5s2sHzqukYKPmUnOyhQTIEuO0iJSKhOQsmJ2MlTUSLjF2Wj0xGZd4nzeBERnPSjZTl1NSaNVTHnsJyoViYlkCDFrLSLSTKmPaEImnPuptaELYWJAoBLJ+owQE6YMOSOnwACnGHliALIiQWWARCRXRM2hXgOX73/90XHz2etXPyqERyRlWfqId11bcMnoUGpJtSx0uXjwVFCEALVU6/liWT7WYi4zC+2+67rjq9eHF9fW9D4Ty4pdzrGoWbRVkHixbu9vOm9wOqRxm4JJybPMjHd1s6hW5/tuNJF+4a13Sgw6Du3Nj+hwE/xxNCkmet/blPRk/Di5FJmUSknx7NFivZoDiQxisqP0gSIh2bEc3eCklIgskpyAGIDMqMPcDn29ODOWHLtsBZ18YFz9/4n6jydZtidNDHN1RERkZol771M/0T3TbMwMBMUAS3LPv5MbLriGYUkzghsSJAwkgBmMaPWT7717b4nMjIij3J2LeN2sRZlVWVlVWtRJP+6ff2IjILGxrznnsnV1y/O5GhYVR+Zp3mw+eMRdwdLi6h0RISxzUNXeajMJnEDC/fqnORAj9vtIUgKOU/JR/aCu966DuIx9nsIfb1uRuIQJon5ayrp/neZvYfQQycfYxz7nKU9TKSWD6n7b9xXBfvj+29fXV2Ew47rVKIHYUwqWwu22fvf0oY0x0K/Xa4hxW9ejw2FOZuN0urzeXzHLZl1CCI7YhpZaYozzaWqtkUtvhsK9mw5yDoaT5Kfik3qa54fOsW4j8jKQv/n0sG3baDpwzKf5uu5IbG7qOLqpj9YaALU2TEeQVJzcEBEOBAp9CCGAMzkhmnvOcS/ax9GS4uElodseniJNj8vD47xcUohf/vjvP3+5ffMxneZpClL34uaO063qrQx725+//6vXl3vMi2Hu666URrXt/Tq+vOzXr0vmMMZ//Df/82/podNTr76ttZXhY5zPi/THm16/fH51bap1OMzL+cM3HxHhvr49Pp3+4i++f/nz39T6sr++zDD2tezFt2oIcL/fmkIUuDydTtPy9Pg4rLT1jQXu2zWK6OiCpOBHqtDt/T4vp3VryGH3SoJ7rRLD7fUthEsZI+UPILSX5kLaECVoZyQjlDrQQTif3u7rQ16QUx861JoCSwQiRr7XlZkRiGJkkv2+ikTJ87atTctDmhlHFty1UAi9djOrtbcGxESch8frrUFONsQNxfF5Of953dwIEVMM7gre5kms1FFbniIj1Frd7XQ63e77Qa2fpsk6HHlfXX05X/a2Pzw+3tdrSqHtJSU+qPgvX37ubrU2cxcwIxZmkEAsSMKj9EQzsrCE1/f7Mj90PFUNHM/7BsV4aD89P1XfY8hRQimFUehIW0Z0Vwqy3W8cYjN3Bw6plQ0AdDgDuUMIQWuptSaO6A7eBVxN3XaWNEwJgAlEpNadU54IUwxhOoXLr8LjNzN+ixSR4t/92/9Ox1uSl2+fLoCGiG/v1x5Pr9emoU2baSOKgSCFZtuX17W3clt5vd5ffxIvv/7w8D//P//bNH/g0w/NE7vX7t72vt5q2SgSkDFD3evwND+cSfh6fRt9+1/98//kMvv9/nPfXmYffdtq1bKP92ttZpdLTNMUY7ycZm2d+pW1z+ymms9nZtZhrbW9GaKs+2AOn1/uIU7gfN1G1xZz8IrdPZrtRcVajKl2Wm2k5eTdIGZURxLt5CH7EFk+3juxxG69mZHEaggkOhxDJJHR+mgDWbvjVse47pd52uu6xFgGwOgEstdaSlHEFKfrbUVESRiDME+33UdVdYkyaVcymqb5fr8rwRjNnZmgaa1tSyFenp9fX1/xH7NWQmBEfH99m+cFEQShlPr6/sYhbPUmQm4tL3mUQg4pxff3K4ewnE/rXoViNDMY5jpwimtZ45RL3y754XZ7ZTJ12M0lP4yQN2txPrt6rTXGiBpq91b1fDlv+xpnATQkB2cUPnDOEEIfw4DA0R0BGIAOFn0ITINI4ZTjxA7utbWtdcDkoBz41gyEAhO4h5S6Y1qeNnn4/pvf8rRAzDHGlz//bn/985cffwIwZzk9PgqDlj7Wun19A2OjCiitDxbcb9dMeH//zL4LdA7yzTn/v/6v//X3f/W/Cct38+nUSr1++Zm8sY/r/f3y8fmPf/i7KHzJ8zzn0msf+/MlfP88X3/6+7B+prrVcq+3db/X672ZwfffPZwOsaHr2N9H7yRMTqNrCEF72zczQMCwq5FD751IDaSYGQ4PkxPfN0unCXh6W/uUL7c+SCnlCWO+NZUkZS3TNDkYDI2Ap8vD63UFYu/GHLe6O/QQproXU1/OcrvvZppC+vr2mpj2eg+KWAd6uLbBTtoNWjczZOm1dkP1cN8rzcRF1tqeTtma3ErzE75/ecvTfLlcStlyYjnNvVez0Wt5erioKjMe0QZAR2gxlX1HxLaXX1xqckop7b08PDzUuuroRP74eFmvNyI6L8sAAiBmlq111Z6nxA7oIwW+rTdivRco7fa4PBRznE5Flr0Zx2ndtw+fvvnzj19yOI1ekaYcedQtx9C1b9vK5L//0x8lTinNa+ljOCLWtiPyGMqMCAGRWquqGgJkshO3v3xKaIMk3/f+52v5UmolukJ3jFGEiEtpM0ntbT490/njNE1/8S//i7N++TTDM67/0//9v/lv/pv/+scvry9vf57Pa9+UR/gQHk/zya+fSVeVU4gSem/lbvUGY3dQa+unmcXKy9/8375e9fHpuzyd3q9fEPp5Fu3vL/UtZKllvyQb/bau7za2/+I/+edf/+P/N2Dh/XNZ11aKD0Wmjx8flvNl6Gp9oyCtdxi91epD1GmYeu3AcqvaBzl2AwIw5tBrn+ZZgdVhVGnDKMT9HTtYnB9fd7BEarZ1A60SIu4jzVMMD7UP4Xkt/vbTW0h5W/d8WrRqU+29SbcjvnbtY993ZkY3cd/WmiQAmTcVEC2j1v5hnkhGG5FCNg3rOv78dgvz6WvlEcnNvm7rHBA57XuvLL3U6/rH//w//U++vvz8/vqlj3o+nxFGiiRhKqXEkAx8KETiXjsiLHk6zBafn84hLk3b/eW2FU1Z1u0Km48xHJ1Bl8fLy8tL3+pwF0zJ6jgWU64qFHMM3QCRpzRrt6Yk5weUh7EPorjM+XZbl2UxFRikWpGciPeyTqezo6v55bw48NvtKnkao8UYS9mSJERUdUQilDTz6Hvr68xDrMxg6G2S5bwwjOB7qZlfR7qNbkMZfZaYzJPbWTgCXJ4+ffru+dvzX/zqAun6x1+f/o+//c2v/k//5//L3//x59p833oOiR2mwJIFRi0NyCNZV2tzjgP6GN57ud/eQfVJiEJ7/f0f529/PfX97eXL8vHxlKVu75kpJmZs+1ZwVNI67q8nqsHKrdy1FxIC4FOKCq5jdR/m3spwwD7AIewNjJglvW/3NOWBsvUGFIDcDQMih2W47F2Jw2ZQmrODYzCZWiMUdgVHcmfvyDmrDcHwulUA8lFCTK1vQW0Mu3/ddNiUMpHcrm+11hhy0/3YJDESBz60X8z76/3+6fm595ZDvPfVaw+Q9nU35p9eXotRc6rDg1obXdyNmAA8SDEj4JDkb/7+b8z7vq2Pj48///QlxrhtW87w8eOnv/27P7hhq3tnYfHf/PDDn/78h5wzQcw5f/n6lUNg9jHa43Tu9RRCaL2LSGn99U9/eng839Z1r0WqDkQsrRn7nLL2CuZqWPaeWLa1yeW0Dx6cg0Cpzs4ERCkYxjmf3q8/u3sfJQQ52CiOxIy1DR1tfS0hJUaYc1rvJUjab1dwMrPWOjMSE4x6msNDIlIyLT78h4eHZTr9u59fBNTNIqGIBAVcN9r3b0/5dD6fn87WfUd+Wde/fn7e3uhf/+t//W/+3d9y+o//3f/4v3yKy+nyTBLMrPSeAo3Rt60FdO1VdGy1gJqDLlNw1e32Ftv266dpe/9dcP0Ydfv8dztDFLHuOcZR7qVVVc3s9fousNb6zuzqXkdvqiTO6NpHN0WS0ocatgE5TKUXZyTAbrKvVTE2IAYKzKUXtRGEUTtwum+thNwARldkNzQR3NYyhUjMMjBO816MSLA6ZTpWyMBU92Jmqi4pDuvrNtw9SQxz7K0fiTBEZGrbVkepOYihMtNeSi8lZzdTHugQd910WHf0mJsjSthGQ+QBenu//uqH72Sen6aLE6D32/119Prp06dSWszL9988xRh//unl/f12uVz2re/7HqfYx37A79qHgr28bMyEZDEFb/D2+p5SWm93zrGsW45pPp/ykhWNE0sEUgdmZ8a1rEMxhBTCibrKgM1B50dNz8SP79efgyRCQEqjOmJr7SUSukMIp702dmambu4IrZUQqam5e2naDWOera7MvWB3FtAe1Gb0i9CHmROhVY5BWLona6P+ix8e3/5u7PcShkrWxwmZxoX1Se98g/v2qnGZLt++nE6/t/ar3/5n23b/i//y/1DGU5s+/erD45IxRVM3BIChpLpv1VKobWRGpIg0OEVluL+vHlKYm/ZVuKEO1fKY0EZXZc7ne7lGc2oNfMxxavsNrAYWvO8BokJ1omaOkt+3lSUAYuu018Fxft2bG+9FkYDjvJc2TJmCEjQzwjTcU1qupbVeFfi2GonsfbC0wLnWQixrNBvlLFLKXcLEKW1FRdsRW3VYsQ5t4L7uN0R0w9ZG5zCGhhAik6u30gBtTilMULZ715tw3Pb3KdCXdT0LtGt9dK2+vO91TB/6QBV2jLpuxCqsH7//dv706b5W2FcK8e3tC6MS0dvLa2/tcrn84Y8/PT4/xXneSm3dP/3w3bqu+3b97tP3tdb76/t0Wq73W3cQmct6m6apd0WBSMkY2DoLEWNr/fXt+nA56WiiqvM8j7bebu85Z2Zyd689iYDCd9//6g+KXW1YzzkTipnrGETSWn98vGy6HY1FCMEJmxoSIQSJk3e9XE6ldVUvpdlQHNXMRMR6EUAgzOSXKS2JU/D1ttW6xxzAOqH5aOcsmZ2gnzN6Wb/59SlN3O8vRJCWSx3193/68vDdHA3nkGmZnv75f8p/8/q8rpfHmQkPLwBGJ7AQE4CpDnT4+vnLFGhf31MAdz2CXhzdyfOcYND1fQ3M5oMJ23ZrpXumMQYjLNN8v78HaBPjScjcx7DhNpDu+xpSKmV3wG6AJG2M1hWAjASQRrOuNgyAAMxRaLirGtamLrUpMUuY130zYlPU3swxZLIOzLyXKhT2vklXSREQEVGYW2vkVmt195BTa9UdEZkYApEw37f1crmUuqp2HFskcKull5xo3+7v+/btSW6fvzydplsdzbXYcOac8m3fYwi9aIpyejij8Lpv+97MgGSoOqBrb0J+tA0S2d33fb3dt2k+//jjH3pXQv/y5Yv3/vj4+Ha7TtPkrbdeAGDf9xB4Os0//fRTSinPlyNMxg0k8JHXRTFKrWWMkXM6Mj1ilCwciWMIX1/vki7ACRkOC6cjoj2keH64lNZDTgZEEublHGJOOaNIzAtiAAyEgSkhhBRyjBGZ1GDf98gkoOc5LGKPs2R2dJ2mNM3JQW2UKSJDe36YJhnRdx7r8xIeEzxEfwz+GPwiyG1d9/75bfv9rf9pzD/TpT/9Nv7w1yHlGLOqmhkBjL7v+zugTqfcekkpXC4nABPiuq3a25xTjEIEBn0ta+llPs0KCmCEGtkCddcRhZdlaa20OvatAsBQc0RAJJatNknpfd2ue68Kpfu9tDK8u2zDt27NcO/aDUFiHVC6O8owppDv1bbqw8J1Hfd91MEGvLehBhxD7QWcEHjf92Gec2bm3lRVdTTVTgRDuwSWwGN0EQ6BQ8Ted9W+bu8phXW9sfjDZSYczAOtCvHt+oboIcjr+ztN+Vo2PM0aAuXsEjhIiFL3LeR0ergAy9Z66eP1+r6WHQACcYzxVz/8OoREHNatXK/X3vshKsopDG0homoPUYa2P/74Z3cvx25SLYWYc1zX9cuXLznny+Wig6f8oIpjQNlrLT2lJK2X0QujMmIIgsxEgD4cPM3PvMu9C4i0UUWk1VLaAABCGWYhTThMxJCp6ejIGEIMYYL5vrbMcL3tIU3MYAbD9DAcfXx8HOvbeUpxjA9CH5Z4kgalgBvoGDryFLZ1g4Fj3ybWp+dZYfzwNEev2YqU6/nxstXbbLRfN3j4+KevfUqXUpoVev7n//L1P/736NV1BPJSdtK239/YJcbY+66RzEcIgT1X26/vb61vMTKAphR279rUu6JaCAFMrTW2ZjwRI6AfppUBzAw6AZhutXZgDvm6VQWhKAO5wWjupojEHXDtmsjVEDnVUlOczK073bZ9Wk57H07htu4cprUaIJW9T6dlbz2gO0AAbK1TiHute9OcZ2DqzZhJdSCCgrZWzCzNU+/NDWOMan2axMHjHK9f3pY8mY+hbdTGPrqpCJVtjYFjikC2PD+vdW0IkrN0vddVkFqv5w/PgHAv++k892Hn80OtVVvf9u10mn/++efW6zzPW6kcUzd1dxZc13sKYZ7nFkKek40556jqADRMicBs1L3mnNft/vT01FrzlnqvMQg45SmrailNQgjgQwgRrNQtpulgE6eUt9EtfWi+TPNlW6/aWoxR4lSr7q2ZI0tSG3k6dVOS0NTSNKvjels5ZTcMCcwAEUdXESkFUcLo+5zjY8BPSb4ZDcaNcLhb6730gZFKKQT4/HR5H7cwStIa5/gw2cdPEyQXXGdd8yTPj0//5nevbz9h+vDpP/65hgkuROISR18i32v1Wr7/8FTWK4/84+//bj6dP378WOs+xiA3CozCnOIps47amprWSKii0NXR+t4AfFrmsWq1MoUUBEvdBKD3oequWkcP87m3fu86kOrwaqg+1MkoOYdS+xi6DSxuzEzO3WOrOs+n674rp+vwDtTHGJyGEf6y7uBtK3Ge3BgRW9ljnu7bGvPMDIDqOoC4DwuB99KZebgauO982MCoqgiP0Ylwv7/PKd7v1/P5XFtzG1or00gpPT1eHpYcUa3tZd/AnEN8v14vp4WLgo1vn0/zMq9lN8A+7H7fHi6XOUylNuZAROoc8+LITsEBhsKcp+v1ejnN7+/vTw9L4PT6+hXMz5dlVE9pen19m6e4rmsf5fJwDlHIEdSRANDNbFlO19uXh8vihmKmZmOYTllUSVUB+vn8+Pr+5vLsp5xPn0rVENgN161xyHmeuhERdh2X+VxHD5y6+bycFamMOk3T9XqNIad0MOp1Xqa9biLiGExr2/dtv9GHfM5Rm5T7lYe501AXIFcFgK8/f72+727Qyx5jHm3r5eZKMV7E+1a3MPcPif/27ZXnxzxPrz//HLJ//ff/NoyO4BPzlx9/mnMWkRzjx8eHP//8009//tOHDx/m04ICe2mqFnP2Xp1GlFDr3rQGNEBopS3zfLvdammtdckhMKmqDa21Qu86fKAdviFrKQNk6zYcOoi5dHNAat3qEe2S4qHoYCfgQERraU6IIXT1ooaMGETVWq1EFHNy9cPt2hEik5nmnBRt2+48u0hc19uRRauqIczAbL2bee8dwMcYeZ6YubV2RKmYwW3b1TlKXKbzHPvlfIK6kw8c1kq1ptYbIgrAdr9FBkCN7KadwJ4fn/Zacs5We1cjkb2UMZqCLucZSQAoSPr2m+9f374S8RG/efx1AGha98qjOnNorSGN0+mUc+69Moe3tzcRyWkao5GEUrbz+dx7G8Pkcrm8fN0J4Uim6cNCSLeycY6UpusYrTul4ETdVETU7JB7S0iS4l4rACF7miclBubEeHtfHx4fy1aPbONaq0g0oDRPWm29t+iqo5VtUHQW4nner6sjhZyGD1d3opwz35sNgKG1bG/vX4yTTF1h4nyKH069lV99/PD3v//9/e2131vv72P2n//ub37VWu/9lNLv/+Hvn5+fPz4/ppSU1199+81PX1/++Mc/nh9Ol4dTSsmIrQ1Td3UyTxJQ1bREFo9CgEwBkSWkwJByvK/bGCNyAOuqqt5DTtf7HViYAtjQZg2ciId2BxguBgyCa23uGFnMVdVVBzOTAwvvbQfh2oeN7kYhTu4+xuFAhgCIDmajVHUmknC6LOTg1mI4/tOec97qdpgUr9uaUmKWnKe97ofNtruHEFNKwHK5PAoCok9496HCDL3fb++oQwDrUAfvrTyclhh439ecZBCVUjgkQg4iNPTwEw0hjNFqqzGnbbuSRJF4u61TXsq273slgvt1JYKhw92v1+vD6fkwhGKR6+2NUBwhRppSrr3t5fbp0wc3e3u9skQmenp6Eh1tTtltBCYfyg6udsqiOld/wPw85uDuyeI6rgaiqhHldHpUQ8bUIzNz3ZsWPT1eSq3Whrju+269RQF35BzL3s6J9t3q3h5ytDoE7HovIwOYMeVpAnWLht2Ca5M53E3v14JDRoFp8j/+4ae/+92PHeL83V9PT7//7i/+1fPH367Ln6cd3+zkp2Uuuv3uPzxsXx+zsrto/c3z6T/8D/+P03/5X4U8YU4L0q8RHwLf1vsf//Zv1m371W/+8nw+GwhTAhvetyCGxW1UJt/qdbiOBoAgnMa6ZnMBYPPa/X7f41lK68Bp3cttdONQwFWTqg870gtgGKCRuyLFgbyrGQoIOIIRUzPhy2iKABLQyHptIjJMk0RnGGOQcAzJ3d1cDGGM0vs0TQI+RnXi4xQqDURvCn2rDixpDnGieZrnGZCF0VoNhGId3XKMXLu5rq2MsrbrNRGwW2yNmU/pFEm66YdPH5vpdH6Srec8TTG9fP15oDWrpzQxSLtrnpeYZ6P9cOM/7PdTCiTSR03zpIZDATkEBjDcbveJ2DGEORkCByFhR4Syt203qCHIPFNwT5jQWPatEgA4HuE0EtP9vl4uF5TMPEmYiAjUVP10ugyDba2lbhzmPvz5eQk4vb28TdPEHLR1ZhYRIZ5SRqRx34kx57mNwYgxsE+Tvr0E8EC85ClnVx11W733rgOBh9vjeXkrN2R+upy/Xt+ajr0PpVRq78xffvc7/fPbv/v7Pz08f//Nv/yvdP6k/Lm+vrDdxs//cNEVFAB8XlK58Rz53/5P/5//3b/+r0LGtm1F19PTZNx/tXz88eef/u5v/v3T09PT4yOpRnAjAiM3HWM4wFDV467M+XQ6aetj2MEK/cesD3Tn7o7AiGgGXdXcWh+GgCSOjkcwgIWu6kYOBORdh8gv3taHI9URC4SIiIboItJakTwBmKr9wnxArLWSjuPiVqTeBzE0NQCovSD6PJ9O5wcdEHIGCUkEANDB+ogxRnJoOnq77rcT9227t7p7r1z3Dk5Ml/MyTdO2bSwiMd/WMp9PW9nzPO2l1FpjTlHCJhJCQKLnGNftNsY4TLvL2J+fn3/66c9jjIeHh22/55xbVWVl5lYKJooxutm278wcpzzP889fPqvb4/Pz673c3m6H03dIomRCKCTiqjGEWu4hRCAKMffem/WRCOY4artcLtv7rddOIRxWEK2VaTmZ9VI3IgRw7c3cm9peymhVRLLIBna/3eZlAA5THb2wltrqQ5RLyB+W1MYLIxxkbEQEBEHa9iu6xZS/+/b8u89XFKxDdx8gaTgMs9K37fP+uz/8nv/w9sM//xfx4eNebpLxCe5THNR9jD5QL1P8q1//6m9/9w//y//4//7VX/+VwgCCrW4gY0ry6eNDAHl5eXn7/OcPT8/njAgOyCkms4PcjqoDESUEInIis15rS8LWe9UhnlSHAtY+DGMZA4Ed0AkBqPZmIAbWdBizOiMSEHc1JBnqTqCqQ1UomCs69K455jHUyR3cfKgNFjkM8JkZ4ABD8O3tDRF1gKQsISFSjCdmTjn23jlkEdl7PyIG0Idqr1W3USe2WvYYZSvrfb1mIbXmWucpX5Y5obp2d93KYJ6//eE37/dbae3bT5/2fd3uqyOu+8bCLGJmp9PJybdtG2McysfX19ec876vZn4+PcQkZX9/OJ+/vr6M3ltrbDDlnFQdYLsdEYdtWZb311d0iUFaayml4QqO63YXcDqEwQAEAL3pGCPKQuGE+SLpMnn++vnr8/mBWYbBspz/9ONPn76dat2JgAiWOapamqahlkNUH1KbOI7ehXyZk2kTHDmFDBknQr+Eqh/nNLF5cwcw8JxzrXVbb+eHi1YNMfZuZP03v/72739+4RCq2W27y3z5cnspygpiTv3Lv3t/+duUT989P+dffbMsccE0x7iPorWSlkT622+f/t1/+Pff/uZXQQRyevnpJQsTwWmaW97Cx4e3l5c//f5vPn14XOYYoyjSACRkYkzMR3mIQlv1o9S1NojE1EeHboAxmjYPLEH2blstSOJoe+0QQM1FRBElhNpH2bbpdAYAhWGth8xmbt5UIVIkB3dnpuGGCAB2ZPyNob+8jJhQxzRNtTYDiFnO54fWDZCBKeWMOETCMGutMbK2vrdbijEJ62jW9702Qt9ut7q+Pj6cXn/+89Np/vDh8Yfnp9EKtn0t2zBda//u++85TclgL+vPX75cHk4xpymHLz9/JpH3+83dHz88b19+Sim9vb/EGB+Wp6HtSOHZ9/1+HyxY9vby8iIip9PJuzVVX3cOHENw9/2+nuaFRdZ1fVo+ERFRAzDzUdru2IUJALHXepqjqwVh8NCawvks07dvBePEk0QJk3nY6zpN07IspaxPH57HqJFwNIgxCZoi3K5vMc+PS669xCkEntx1aFOlS0r71vutUBpLjDN18aYGQD5NU729a69g4359D1FgrRwkQXtI+v3H0+8+369Cu+r+/nIvqihHHkrwNzaZ+/KvvvvuxC12xU4usETGsS+RCYE7/qvf/Oo//A///ePHb0/Pz6d0ur9fi++XeTpFbGbyMH37+Jdfvnz50x8+A9q3j+dfrl0GV12Wk0zpdnsvexMKXZUBu5s5XO815OTGzsmc9tqHkQKrmiNgjA4YU+ym6gBgIQRkgWN3pZZS0jEYgREvl0sfNoV532rvg4Js2yYGIqLDB4+c87GtIeF936dpcgKm2Hs3AwlsYK2VyGZDAWiMntM8tLGN/Xq1FMi01wKtTDm0dfPR+7Z++/T062+eT2yjbqZNbVAKp+n8fHn8hx9fchtqcCvXKeXWWi2F0B4fH798+TKdzsz8d//w98wYYwwhxBjf399Pp1Nr+zznbd3WdV2W2XtbpkRBeu+CXPbWiASorbdlWUrvOeTjN8wPy8vXNyL59tvvfvf7v5UAYwwarRI4genorRYBAB1MoTttA7dqrhY4qnrvRwjDHmNsvdS6q1YRiolcdfTaW8sxjVZs1MQY2R/nkGCcBM8BpG+h7U85BC2BuvXNtNXRj5uLiI4cAldVc8Tgw8Q0Wn0+5UXo5e31ut5v+1ZtAKG7CaIYQLNPTx8EMLBHphiQycD6aU5BYLtfxY1Bf/103r7++Kd/+I/o4/npkYlu16tqRzAB1339cDp9/82HU85v63pdN0NQx5BinidVFRFmLqUwszq6uwMSxtJsqCPwAWwQS0iJiBDZHBxouJkjORxBFNqHDe21HI8LwAB9WWYiaK312uxIBFRY5jNTcEORCED3+1Zrd0dTYDqmnQE2QmB3bX1nGjHoaNW0m/YDvO/7itrQW6/baLtp1dHqfdcxTvN8WS7fPH8gh/V2772rj+KOKUJMP71+5RQG+N4qOiDi65evMcbAsm3bhw8fjhC2lPO2ba+vr4e1JyL13kUEEUXiEYQXAuec217MrJQWUlyWperoOvZa7tuKTCFFR9jKOp8WA395eWult9JTiHLkl6UoS87X6xuA5RTLIA4ZJYonRJqmVKoCAFMg6qoKYICWczYbOU5GECQ5+7ZXMxujMQGim7aAtkz59e0ujtwbYifroKO1DdDnNN3WWyKrpbiZqh6JieiuteaHFBkG2vPDQ3/9sTo6JyRyd0IENOzT8+PHh/N3IZ5ikGmJOXMKFFJG3b13YQSAKOEcy+M/+/7f/P0f/vzHv//h+99MiRV4dG+t+ehCOHpNRHI6XXur296GEsGcJxEBtFJK72OMEWMAgGEAZo4+3LQNEjrSB4ePhuZI6iYiZagPACYCPKy2kXyYhhAiAXEEMARH9GOTfjCSeu8k4kgU2AzMIEY+VOCttRDjGMPdU4gGPlqJgbuO3lUNeJipigStel3v7s7ggwqYo3skQQcknPP8fJ7mFHIQtqIO274RO7BQDFX7+eHp57f3y3JW1W8+frvvO7ou04ygo7Xp8bG3Nlo3s5Diw+WBGA7jCQB4fvpoPtxGzhER+w6j1RCCH9mZgNpteTodHW2e5/u2OSIiXvebYEIKxPL4+Chkzx/O0vYbAqcpV8XT4zdOXva9HbEquiFgzGc3wjHiFG7b2mEoGnF4OD0jYl+vA7YcU+S23XdBgsARIscgkdf1lZxa2YKDDxXCse8wdLSWOYO1UWuOCUYjIqBAEmv3y7IAmFrvyqewUNO/munbCX/cxzsED4kcAwL7WE75L//i108Pz+cUpxhglMgc9i0K+xgMOKf0+vYVbGhA1/LXf/ndWsfXn/8wOhBxtAHqrSqi6+giUtse2OI5HGP148PZanUzhGBmQ6Het8C5dRCZway2hgZymsghBtDeoAEKI/EAbEelRUAnJLShAE4AZAYGEQyFAajsqs6HtFUJJCd3V3AxZERCRgjCjAAxiAMcYtc2ujCOUnJMpkORXNjhoDJWAGRABJAQVEEQR1kRMUk6L/Pj4zPqFa2s16Ztda0DNaUpXy6/+/nz+fJU3u5uGBDmRDoqk+cU1Rojkcj1fi9eIseYxCyVOojRnDnw3nZ9fQmB8zT3pu7OlMHgm8en222t3M19M92+vBx59znndV3NHABkFiBntK3dphCD8E8/vtA0TSHyvq+17q/X11rrNE0csnA0R2ZWMyCf59kQJKTaxzBP01x7O4iG07Qwc20tTtEJAAYitl7UhplpH9oHIgqCjeZmQjznTETgfqxV930/eCohhMPw/CgYNlRHBx2m7S8/PJ8Zn6f44Xw+L6ccE3J4fn7OOR/eaCmFQOxqAN57VRv7vo+hCDw6RA6I3Esnh28/PGdBrXvvtZc9MmlvrbXWyjRNh9D5qAe19N61N617Ga2nGFP4ZaAWEUQmFHDabjsYApA75pwP8GiMkVIKIRCguwIYERBjCELCIbIhIKKaDYd/ikg9osx+QbP5QK9Me7VR0FWtg6vbqG3vtd1uNzM7Po9erbccnLDl4IKNoBP0+/Wr1jrKDqOTw+Nper4s3guDa+uqGkJ0ZIlz6/7y9orI48AEhdb1ftgPhsBmg4iu1ztzeHx8nlMWkdv7NafUagWDHFNKaZ5nADsAJkBLKUGMIU9rbdf7HdHnJSMMwV8SxY/0hRACMgWkfV23dc0hvr++fP38ubVGHNjRQ5SYeJqSCNVakcQAD3+cbb+neXIhx6BI6kgSh8G2VwPU4WMMkmCAHCSlsJxynHKM0dUY8NhbHoy2SWKOKcdkZn6YnI9xdC3ubmMQWAhMgKAmSIlplDWwsfdvM/+z53Nsm21XrcXdScKUMiPlnACU0UNkMyO2eYnuGlJSVUkJRdZ7baWD+ZJy2+5Z8JQIfICbjs4Ih+Pk7XartfbeJYZpmg5s2N0RQIjRgQAZiZHKtrc6zCCE5I7MAgoMNA6bXPMYIxx+1+5EiIe/rTuAuauaOUIfBkxmZuAOpGaHlCfnfFi1H47D4J3QTTuZai+MgKqI6MPBHBFNexaegiSEiWkKfJmSttXrGrz7vmPvs8gS5WHOAQZb6fu2b+v9+vb+/v7w9Hy+PNY+hPM8z2b2+HgREQRY11ttK4Cp9vfXNwBQVTQIIufl9HB+DBy223273X2oBFqW+Uh3f39/jTESg3PcFbbW83ICMBE6zxMRLXkSpPP5PE3TMBWRsu2nNP36+x96aw/n83mZgzDdbu+q3V0NDcDtIHdw7oZ5XpBpuZyv91vMufROLIC0l1prned53bac8/W+dXUjNAQJFAIfttyP58scEoEz4aiNCXrvoJZzFo7C0Q2ZQx+jtPqPBg2BHIJQ7x3Ny76iKeog1Nz3f/Wb7789JWktuM9pvpwePn36logE6XJeiI6j42O03ttRewyo1WHONjxyDBy1t14LgQZ08J4Ta91gdAIfo5HgMG2jH/HPQlK2Yl0jckDS0lop2rqNkSSIROZQSkNkNBSJjMLMZnZ4Xpod5m8E7nhUUAKOLElQsKt309qbhDBMt1qOxLqD03hkXR5GLGCG7r1WMDvsJMyGEB37EeZAgDY6jpaJLjmLal/XGQF7Da7U6znwN49P3318srbX7b1vb6Tde3HXEGMzK7UZsBPFmFT1NC8phtbK999+F0Jw0CDSetHWGdDMLqfz++sV1NCcgHNMNuz1y5ef/vzH9fb+dDmP2pJwWbdtb04s83yv+/OnZ9OWIj+cL2Xba61ff/58FNF5nq2OZZq//Pw5ChM4MQqCAIkTxBQQsXVnitoGzLN62Na9V5oAJU7dPKb0+vqq4Ci0LNO23xkdEU+nUzN0SoIh5dBaC0nA7f3txcqOagQw5djWbWhP5K0Nch+mBmiORNLNQwxluwkxuNVWc87bbZOYhzZEZMfnxPe2/YtvP13Xt+YWHD48f0oUz+fzNMUgyMw+mo5OANt9JfRW9t67MzKGkOIYrY6O6BHt9vZuquotpBRgIKD5IDRkjBKnvDhiqa2te8RQa2UYKSTISG0M4L7XvXbAEJep1UbEOnS46hhGLEiDyIcSsRDoUBY6jlpMqfWibu4OjoBMSFvvRixMBxZPKGMMJxi9xhiPEn6s3c0HMjgoom/39cDamMm1fHg6ubUZve5rQGhlG9rCUHf99ePp8cMDqIn3Wm+jt153Ic4xpoeFJf7xpx8vDx/my9P7/fbNfPmL3z6v7+/Xl69Ovu33x8vT29ubu08xxRiZ+cvnHznL89PHUUdr+tvf/tbMXl6+qCoSPj5ebvf3mNh8ICkBHja/D89Pwj7GOC+nHHIte8xpWZatVVX78OHDhHK73YSCqj49P375+hOS0/FGH8PWdUUkIiEMasgSm45pmk6nkyNsvY7el2UJTDnK5TQHpimGoU1iUFVzqs1qGUxR3XrvgpRjXFKOLLXWbd8BoLR2W+9ODCycoqq21g+x1eV0JiImJKGuDYXNYJoWhOCODCiO3kdwh9qfT4/nuDw8PIjIlFIpm/aqvU05InBKWUSWZZEkvVdHm05pLSsHut1uY4xlWQLLtt7W63sQSlHQXESO2ejoMo90XgAgQBG57xsRrfvWWkMmDkIEtVazsV5vte2m/bAWCiEIkruXdTt+VW/DDfTwc5QYJLk7cTCz/o9+VcOsja7/+HGkTRw7NgMHQgfqYwCyOR4dKhERiohcllMgfFpO1u6kO44tUMV+i9x+8/3j8+PE0BBbH7u5ouscYyJ9epwJxlpuHHh+OCv4PC/325ZSiodC+n67Xq9lb4Sy5OVyuRDB6HVoGWOMMRSgtFZqR6aullM4zRMhLtM85ykwo8P5NE0pLtPce99rG8Ou13tr7TwvR2Z4jHGMcbvdiHmoPz09IeJ1val7BxN3QORaqzmA07bu6jzMzSzGnNJU2w6czCzndL1eY5ScT0SQoqCriPSugNybxrywiKmllG773gH6/UagrRU0TzmYeq0acxraGXH0QYQG0Hu/nE6tlSAyALa6obMa1rLLOPxGoYMWLarCbo/nyymn58sDIs7zHKNk5lHW8zwLu0is5Z4i//TnP1GgkGKt1bw+fXh+eXmZplTXrdXWe1+WicxfXr5McepgMU7dLU8ZAY9T4sO0DVfYtIYQS6vL+bzuzdwNgJBE6Bct9bEopV84cqraVU+nU+0DABD58FRrrUsMZpampe8GTEGiA4ScAMnMBAmcYozAQggHO/2geBIRkBDRcGMWVDM7zFURkRhwtGLrizCNMU5zfjpfpmka2tBhW1dCUTdW99GrjW+fFtdm1qd5UkEROj8+fP3pxa2/vLzMUb759uO27yFPtXYAvN/vp9N8WqZ932vFy+Pj04fnsvfL+fHr19fDEfx8Sq0VIjqdlp9//vnwgl3mNKwfYcSjt/PpMkrdty2mdL1ep2XmFImo9OY6eu+lVWS63W4O/XI5CaNRzHX3KSbthjx3Y5qeB0vIeR8b44JgZnU45hC9KawjP1yqVwqxOKpaCAKMjNZbaWU3MkfwIJgCKKCFANDHrdYtZBaL+33PQs6x1z3G2XZttQaS1mtrLRoPBQGWab7tq+RURvvSoDN++fKe88OH77/LS5yoPQU+RRHACNYJmfR+ff14emotrltJ07n2YurdjUBu9zLGEHCrewB1K0A9IHkSZogUy+iAZKCuikreTFyAsfbN3ZuVPgxY3QdLcLOuhjYcPETe+3BiQEKvKQgCRg73UvM0ldYmBHIFAnXozZWIBzpLYN5bJ+QY41A3hd3r4eUJOo44STRDSsd7gBiP8CozixyGd4wQIhBrqS24zVHA9DzlKEgEDLrudw3nXnYJFBCg3TPj09Mi7BU1zsumRHPuTv2+7mXNOdVmp/MSGZvpur0JnZdlURF1KsPXrZwfHkj48+efXl9eIsflfL5vxQO0bnG+qNtPL/ecl/V+Z/Cx92mZ17GLW3Oruhv38/n7dbs3G9hqvd6ePn5obQyJl+fcRo+BvpY95YnSA6nqQdg5wJ2t7CTx/Xp3x+O+SykgQgisqgo6zTnkdADLx6Nkon96o5dSDl5PTpM7SgzApNqHttJbSDHEuNeiZm0MVcUgThhSOiTLZp5zBhEM0Vl21SFpVdgUC4QfX2/ve3t6/nA+X87LZVkWRA+BWRAA3JUBmfnr168xxtZaSlOtnUiIZHRlZgJ0tcO4L8ZI4Ee0a0iRY5jn07HWUtUUY855K/sYI8ZoxICs4Ih4gEGqbmZHvjSjBGIiAHcb7kNtaEASQjDX3kn4gDJ+4SCrHThUa02QWAgAHBQAUkpHnICqttYOi1YA+6eAgQOSc/fem1pnQUTvvasOFmxDOcQ2jDjc79v9tppCQJpjiACsYxL67uMTmb6vBSQ6EgqnKU5TMBsfPz7Nc2ZGABujIboIMbprP5qW9b4bkgHd79u2lUNbAkDzPIsICu91f7u+xxibDiRSQCD8/PK11t3ARQJzqLWZ69PTk6oy83C73dZtLe5wX/f1vhPHy/kpp9PPP73Q6DWlOMZI8wTEDqSGj4/PanC/b6o6WgmRVbtqD5GRYZqyk5tZq5UAD9rYMX4eDesyn0NIB/9DIgMpsKNw0V5tGEKapzTllPNw21oZpiJxdGMkV79X27u9lfp1ry97/7L3m9FL1bsRz+fl4ZkpzPMsxExw+CSu95sQ9VEPrODl5SXnfL3dlvm8rQUhIKL2IShtLwx4u91UOxG1Vo6repiWUoYpOglKrXVdV2ZW8KG+j150sKRjH4TASYITK3iQdHB5dAxQQzUyT5LAHIZ67+K473vt/R8JdXgc1iM+kAi09Vp3IRZGHU3HQAAwDyxHiJbpcFMkOFDS4/iyIDKYDTMlAhHZ9h0p3rcaUiplTNMCQCmktt3mHJKPhP1pzjAaqjUKa9f7WgD58fHx7fqalrBuN/NR6/715cv9fm+tmVkM2MpODL3UNnqellL7nKcYYwgphjxNMwEJSRtNVR2Ng2xlT/Nk7oZmoGnKAOAICj7l5eXt69v11d1HV+E8uqU01dLdQYF//vwqYXm/77V2mqZptL7v+/2+AQVOi2I8iLlznj48PYNpCIyMgFbaHnJo1sYYMcnRy8/zHEKYpimEsO27iIymvfcxxvl8vl6vwORoKDzNM8VAzI4wxkBhA5MkccpdBwcZ5qU0ytMgflvLOuC96+dN/+HL+refXwvGp29+LXE6n89znlKIMWCKxOg+uvY2Wh+tA1jI4efPn5+enq/323y+1NrNoNeeYwL3upenywMiTikcg1FpFQglBolpWwsRHVC56iGsJwcCDG0osqiBme37fogtj8UjI6FDYMkcpjChGiEe3ySEw7LV3UMIRzfmaqPXf0Sjjk1MV+3kADoCMYH3UiPLFMNBa0K3WndyCIGJANGJyMAl0Fr2rRYRacMlTGUfwkFQkoTI8ZIn7juNLVr77sODgBNDnOY4nc5Pz+r2fn2bl4kZ5jkfTNfjCbj7w8PDx4/PMck0JQcNIdXeYk7bVspWc4illO123/cdAIgAGU6n08v7i4QQY0zztO53CrS3fbmcY4yX8+OynHOOpbScFsdAJPN8CimaWQiJWAwYiIUDk4ggdcAY5phz76EMyQ9P17XTPAtKYBpa77f3gbz3+8PluWtjkTRFbf2UpmWa/vTjz8vp7MaGQEEQvbWKiK21va4hRUJto4HwdJpff/ox58Q2RKiWNbCw2vv7++SODrV1Edmq7qVXpJc2Xqt+vrd7A1pO333zm3z+8OH52xglTxHAA3q5X5OEyERmTC7MlqDUW57CH/70h5RS790RbKiZ3a/XU5pI6La+sVBZV2FW9Jznr9cNBLs5g5St9FKZOYbsw0sbY6AAmGHdKiIiEcWowG1oTEtvrY0RiBC8DTJQd++lMpG7CuNumqa8rpvEGCUhUe9dUjiqoTAKO4AadEJmCaXs4DRPqfcmfGBN0Eabpql1RXNyAHYmQsR1K0sIgt57j0xggIi1FBZOAc/zfPv8BwT9OMc5y8vXz9VwH6CnNJ1OW+vn00MdPQVxxXhJvXfto9Q9Rj6fnvZyf/O1O7xd7yFNIfD1eh0ITHTbr/nhOTLXWhxh9GZYT6fT+XLpP+6nZVnXFc2L7qCQ8nzfN22d3VrZu+rl8oQQzGCao/lA9CQOYF0HANze3gPzvCxU9tbaUDVw6Yoxnd5uuwLU0s3s9n6NQiJMRMsy1VoUdK/bsWRi9IPJUkoppfTe3b32zoxjtGNTd79tfcDofrlctm1blsXVwLzWmkOs+36IHNSt9IYhVrXa2t5bd99UN7PdQYWfP30/zZfT+eFAXt3NoTMjgbEcXZpu99v9/brtVyIwHCmF23Z7e3srpbgjmgeWuhcbmlM6jCoPKKe0auAHwwMdmAIACP2iOANkcgoU3JBIFPBe6gDsXfuwbduOCgpm2kdrDRHBEf/RIfo4z2YWc3b/xU4aEQ812bGnPcpPjEJEZkNE5iOumEgCIUEfLQbZtk2PTRWAO/amteuxcgLnPJ9O0wwAOaYlT0/nS2Kpt5XJAllgFwZOsRGHh6flsgChuzPR+nZb3+/a7Xq9rus+z6f1vqm6GRCGeXmIaeIQzWxKKQWG0WOUw9g7RgkRpxSenh6WaR5jvL68nJbFhpZ1A3cOTMLzPE/TtK6rGYAjc2zVjkDE9/f33mttq7X1NMXLMjtYTvE0z1mYcp4JRSSWfcQwlQaXxw8SppgzADBjSuF4HWbGgmnKyHzMT/u+g/lhFvKLeK81Zq51PwQUt9stL3OrI8/L29tbYPllV4bISPf7nQCPIwIAKc+OYAhmtreq7kCo5oqYL5dPH799ev5wOl2mKW37HcByjuhqNupeXEeKMcdIRNt2dxqtF/PBzCS/EBaPZmaZpiMighkZEAA4yAEr1tJ7H8cMdMDjYwxTH2MIhmOxOcboY3Qd1YakmFKKMQoHZmbmKMLM//8VJYBqb60dTKV/6tTRgYjI4Tim7v5PPwZq5JAkWB+BmBxArfdKBKWUGIMIBZF/OuUicj6fiUMbfQztvecQowiYa6ujFjclt8B+Pk0suJWdY5ouT29vb71XVa17OS3Lh6cPOeZjjdjaeH7+mNIUQ0bkP3/+8n69Xy4Xd9feHpb54bQg+tPzw+W8DG1TysxoPmw0dHC1bdvaXnJKAuKuItx0bNvmjimlZTnP04k5CCdH6r33XodrLTt4J7YkqNpZPAgQMFvDgHOeTkWgBe8QKpMxUEBIYmGRNAmYFWBl32oGgNHNRpomDhJjBMIQGV29l1G3EELrtq6O8nC/u+TT3jXLMjqhhzGsD+1q7uSAIKGB3Xq/l1Yrjh6aqwM6hzp4dPp4efzr73/1nKcFObjmKM+Xy0Syvd5quVmvbbuS6bbdb9t9oJ5Ol1qrWnt/+9y3d2kVtttY39brV/M6vHJCZCcCAExpGtXNZG84MG89qnHZFSzpEOFkCBixsO+gjVyZzZkku7FZa9oc7V7WAa5IuzuJk6ALemAjHkYhTiICgOgeQgiRDdRsAHbXKgigRoqTRFIHMAqk0CkcoRVQrSMFQEl5cgdz7GOYGULQDt5stH59fweXrSmm4IRjDEf4+fpZsYz+nsgeZ4FxK2WLDx+fvv9tSDOlS1WapuVYo/zhj3+srQWyyHi/v6WUpnn54+fPr/d1CfnhdNHSv//4bdvbMp1s+NA6nebS9uV0aq0xChuhzDpQIL9/vnOY9qGF9a/+8j9jmKA7uZ2X9Ph4qaOmNFkvv/3NB/L7PGNM0qq+3V++vH7R4SlkFqx969SotjGfT8jc1NRZlc1RRJC4q7c6SilRQoxpmqO5HpLZ08NFJAKxI9/XDUhCSo54eXwCpINffVT1ZVmOS8cdVW3fKlJ0x1IHh0kBDdCcAGjbtlJKrbU3ReQxrJSC5N98/PD4sDw+nKcppSwA3lpB8hyDOwJAa2O4bdum5qWU1gohHGNEymLemdFBpykdKc6jN1fDAxQaDQidsNSOHMzAXf+xyYwiAoSqdkA8ZtZaO8AmZh5jTCkAwDxnYoxRiMGQDpLXEUo2pxwAA9J0UHwR0I0JEH5J+TngpKPiiogE0taPDv4Y4HLOTIgOB1bg7gcj2GwgOpC7u4TAgaZpaq5v9/W67WvZhykio9OUckpTqapI8XR5W8uX6xWBQgiH58y63udlqq2klAz86elpmqbb7bYsy+l0en19PUSC6+GNX2ut3RqShZxO+96RJU15Kzszz/Npnufz+bLdNhs+pfkgQxG6CAWW6/U957Qk0VHW+/vb68vT0+OnT5/a6FVhr+3tdr3eb+u6uvv5fCYi2cruCBSTeoynBwypDzMDkahqiHy7rfteAWyMMkZTHV+/viIHkZiXWabkCKX1kHIbZkC999ZKbXsg7L2hAwAgBMI4lJhiVx5Gtal6KN1q7WMYcWjDhlk3U4e9tCmF3/76V5fT8nCemZHJnh8vD5c5CgRBQO29H7Hht9vt6BfdPcdUawUdCNbLTmS9r8w4ehutgA0iUuvuHqO4uyGU2qfzpdaOJN3UEQ54+Dg6h/bXwEMIx3h7jORTCmM0Hc1tqGrp1d2J+YgY/QXprLubYa+gw1qF0a21gJhiYCQbg4mmlHNMwvzLqSUXJEEwVQTb1lspBdCZUEQQzM2O1oUE1ToHnk6Lgpv7ddudUBHLUCQZwwDQVUc3Re4gu9GX+356/ni9r4Rh38vnz18eHs6lbCFJSFFE9n1vrZVSPjw+/fqHH87n07LMeZkA7fL0aAZ9GNq0XvvL5/v1fc3zyYiNcF33bdtSyjmmZVlijL21vawIY5oSgT88nuYcnx8vbnVZAqFezlPZ7i8vX4ng5e1GcQopd9OXly/v17fXly80DPfay+gv77fS6b67UqxjOPJQizG3Ng6QElADIzEAYYix904SSynHP2OvtaunKXOIjp5SIrLPX34SRtceiEmSA6c0AcWhFmIe6t3NDNRxqLXWDLy7d8PSLabpm0/fff/dd998fI7CMUie0tevn+/XV4dR66qjxBhLKSJ0WIUF4X3f7/d7ZGqtEfs0R7cu5GAdvAeBaUpBCMzRrZuqmzlUtaYqMfTeEeFAj4/xn5mF40H1L6Ucrfkx1R2QZErBwDkQCTt6G73p2Fvd9z0wTjF5b4kpIkbCJJyYBJxMhTGIMAKCCeNBOQWzwIJgMUZt9WCXJmE0NTMEBzikCp3Qid3dpinlHMdope0hxbXUAejEGGIzX7fWlL7e7ptyxfjltpnEe20x5BCSGyr4tm3HpPH09PTb3/42xpimPM/z29vbvu/zaeq9bvs1zel6v22tX56eYbB3mvI5p9O67S+vr3st0zSJyP1+P0i6UeTp8tBrQcTAlFKq22o20I1hkI2/+NX3pzkRwevr18fLw+n88OXzS55nEco5CmFrTQADJ9xHo/x0ren8zXeVMpIjCXIobeS8EBGTBUQLR7VrJElRBzTAESSa6+XhVEsNnM0sBupDy7ZeznMg3LfCHKru7kYMaYrahImvtzcoawQjVzU1kuu+OUslltNpfvzw8OHXkhdzPJ3OeXnaanm4nEPg+/3K5FFwtC34WN++ju0eolxf3lgQFbSj9REItG6jVXAngiA0uo5uZJqjmJmCkISm2ExRBEA5Wm0l5hMxggIBt9F7V2SuvSNzKQWZDdzdSxsxRgzJvTpJ11GHd3J1c0MJPGoJ0U9RtlolpEBUtmIicFDsDXrpRNx7SSkJOAIgQWs7kSAiE7Xthmam3pvGGPf7YU3vRMjQkZgEXSuYz0sGNWGBnIFpH+4KhBwktjiBBZwWS6fPr+tyiuv9Lild7++j1Q/PzxLJwNe9bGWHvXKQl5cXAo8x9NoQfW/3aUrX+6vwvPceprOi9j6mKbEQB0BGCfTddx/R6cc//Un7eDidt+rX91cgh6HbfRUi7XVttzYVrcVM//yHPzoaqz7OM1v7l3/1lyLSy+18ikkexmhDlRxDzDmkCChAOeRzBSSJTtS7ikRVV1VVG8NKaYdJATAMbxwZcPRRLw9n0HE5zWVblykfofA5R4BR6hY4uqNZNx8Adl/fat/X/QpsMbhbd9fSWxkdolT35cPj9PAwXx6MAqDEvCCnYwEzxUlEdIxWSt23tm/gw62fl7zeXsnUR+/N614RWYe7+5QzALgNUCVwYUQA/8WQypGkdm2ua9v2tqt2dy+9HA1f/ce4qoNHfHA0/2l8bu7VrJl3x631qjYAh1ntvzQJS84BEdXmNAuxKeQ8BxEiAafea4jMTCkFRP+lJW3dh5qNfd8BDABiYIZfsniWOZtZZIpMQoiuQjBqI3RycDUCZA7dHESaeXEfgD6dPJ8tnTTkPvTLly9ay3KaVNvD44WERCKhnE6X1/f34cbMh7uWu/fajrX2GD3ndLu9f/fD930MZ7tu7/dy2/c1TylF0d5+/8ffvV6/EIG7Xq9vBGO7v2s3RPRh7q7ddPi6rizRAf/445+327beb6gDe2cdXguhubbn5wuAGSCxhNttPa7XodQH9QEH5TaEMNTGGOu6t9YQmCkc4EupOzHu5Q5mgtDKrjaOJ26j5RxzzjFJSgkdmPnl8xckJ7KmfWhXUAd1dO0FrB1WROq21tbAiMP56TnOy7ycJWZwAWftGjmMMdbbHRFDCK01JiNwsLFd3+ecEEwI3XHbyiGIMbNSCiOJ8OHTLkKq/TDyIAkGfNCSkGiasnknolpriPFgwbm7Ix7nsvfeRv8lzdGUJTpQV2WRg2uvBO549KCISMdW02y97wdzL4Qw1I+GRJAECd1HbT4U1MAMyZlZkEQE7PjjGAJHpnmeAWCaJmbe953AmEAYY2ByiBJCCIh0QH61NxAClnQ+38rQEBtIMQhpOc3LZZpaq4fiwsxMnYhPp3MIARFTSr84e9Xm7kOb2TgUrW30UlopjQQfnk5pkjgJurW6M0GI1FoJgWOS0zKZ67JMAJDzLCLCAZFTSpFjG/b09EEkXK/X7z5+ejqfrbXTFLRtkfzhciKi+XRurcl125UeMX38uz/dPvyzDzzHyVNwBicGUUNEmFI28Kr3yHMrVWARobIXmSAgASpacUIAyDHu6/b2/jpN05cvX2IIEMWZl6eH99cfWbD1HRnXtkWG2guEeYy7GwSABmFv4/HbH+LHX8flwpTz9Livu6qLuMFOQYih1Bu7CeAsselW9ruN7tasGBDWvVOYwTojuWqepuL3nPP29naaJ3XVXnPEWosw3Krt0DeAogTGVcE8iQEC7a2lQJyolhZDVofWx2EewxxqrcuyVNfSGgGs6y3kk4EH4gbGDmB+SpMOIyIFS+fzvXcjul2vh8IzACKpowkiEA41N3PiNoxIcszQGmGQnFrv8+VSa+2th8B9vzPBHKirB4qIB2GSRndC7ntxtwEYJDtgBXrz+Ok8zc+Pa72FyP/7f/m//fzTS93KFJK7f3j+9nQ6/e3f/00pm9Y6neJohQjqVh8u57aXOecZ/cAP9rXnuOQY+hRG80h8Ps213PftNQSZltPYXbXv/R6Y3EwAytqWb55TSt9++/H69uLWt20r+8o63aEQSjzF234PIdRR5zFdlqX3sb5fS/dDuUrL6SlN53/4/Z/f3q9PTw+BMUUmAgkE4Pt+2KMportha40pbGXvvYtEbRpjPi7BQy97qBQeHh5eXl6enp5ijEfFPX6+Nw2SJSZkYZKDZ4TA5nitfat9efoQpjnmbEiSopk/PX98en4OMeZlTim11mKSMdq+r/frm6up9nmeDwYQIy3LQoyneYpJ7vf70CbE+7qllFyHjVa27TBpASfhqM61GQAhcNkbIA83RW+9K5IRxpy6NUmRgnRTJxxmeZ7bGIey758kRAeZS4gPqlTvHZkgMEZp2oa22vbWSoiHsSYgMzOT8EHajfEX2H+Kyd3Py2lecgoR3NfbHR1ESJCWOY8xVDVJGPXojLrrOOjSTfuhGwkhqGofQ2JYzpe9NeKkAz9/fm2tk8S1lmb6fru+Xd9Disv5ZO6ukCQlSTnmp6fn496w4TbMDZOE07y4GQAAGKL3Uf8JLNvua4zUe2WmQ/k4hu37TsSufrvdD2uF2/s9p1MIDOgx5pxzKX0MJwrv7++tNSIEgPNlOTRh8r7pwPD59b3REmPEGJo5gZhZ79XBeq/E6Aqn5bSu5eCYzdPJyduoY1iK03BLSdDwer8zYi394eHp8KLwYz3iwxFI2N3cIMXFRw2S27YBR04WSHZsu8PlfLpcnnU4cyCUpgMA8jK/Xj8/PT2xYds7AYgIpbCW+2le3l9fTzkfreG2bZxjyNn7eHq41L0gegpMZvt2jwSXUzbtv/R8Ie33u6oPhF5KV3VnNeu1zjldty2yEACH0FpBdHcTSW54uHmRkB2RLuGXDVkIYZhFkVYqBVGEVgsAtAHDFJhySu4O7k4IbsM0cgT+ZXcFAHOawZyZ6753tWmZpxRRQq01/cJcRjM7zQu4JWFHdHNwNe2KdEAK7l57e364nOblNM1ATIDrvp3PZ6QA6EOVg7y93Zp5GbosU+sbEZT1asMBbt98/Ga/ryEEIWaB1rYQ2N3rtieJwmgEa9mR0scPD1+/fkYmVa1te3w691a09RgjGvLHT6P61u8+jvUhp5Snaeb8jwZpHHu7LrO48ekce++IHEKo224IjESd8u9/fDGM296P98Z6v5qpqpqPaZrUBiKaj6OxI+HWuyH03hll2+u+VyLpXVtrx1M+qNRjDHBCxMO3PMX88PC07fvRU96upSszpdp0q/6+dUrL6fkj5mnbq4Rcm6VlidNchxpSynPXUbYaWKaUyW30Jkj7vocQ3t9vU5pb3fMUGdxGrWUF18syL1M6BosUmMDKeq9lP4pfd9p7lxDdCDmElLdWy2icsiIBckgTMnTvh2h4jFHKNrT9EzvpGJ4OUunxpRC7e8jJEW5lc6ZmauAicqg4aq0pJRLmICklCnJo61JKU8rah/Ze931Kec6JAA4UIhDb6Ojmpg+X89COqkLESOGorNOcY0D0ec7ffPPxP/9f/2d/8c/+2dOHR46cp8VBLo8fgeK692+/++Hx6UMZ/bvf/Cqm6fLwoG5v77d12wnwdDrxPz7V1vpeiinlNDOFKc3TNF2v79Z7ygER1vV2v18BnJGEqPc6+v7+/lrrrqq3222e59M0k9G+1fNyiSE/nB7QMOd4gNCIvCzn3j2lqfc+n07uOkY3Gz6UGOTf//7HL2/3t7t+/P435uBNc8i9DxFJcSl9IJCZgZN3S1HWbZ0vubUiIujeqs6nh700EQaiMUyEEAI4AvRt25aUzWoI4Xr7yp2naSrrtbV+Ol20j/v9dVhwluXhEpYz5pzTpQwTheVy2ZsNH/lyKaqYp4Pao2shBDL0Ycij7vtoOklqewkUtFRnJZCA4L3tdU85whitjcgwSj0nNghb6yRhG6Oq3Xrtxsii5g0sSDAOSujme21TFkNH8956npOqI7AjcAgOLiLuMEwB6SDNdHA3B1BzB8TSmyNQQEcIwJEFmAYqRWLmZVmORAodvwiU55jGGEcCaszBwFOUSKiM7nTkB/TekoiAd+vLdDJwZo5RUpT5lPMyA+Hz88P76/vDw4P2Ae73rcqwaTkvl+lPP39pZU/T0oY1HZ9fXlxb7z3GKRADUEz5w8dvfvzxx9Pjw7qukpdj1mx7ebyc7uv1t3/xz7vb49Nye32p+3o6nQDgLEvV7fX1VXsdqufnCFDf3z6fn78ZYyvb+9srROKvX78SUfz+ybpPU1rXFQBq3aZpijmrdrVOxLWVFPOohV7uNwVRg1/95p8hh5znKFMIIed5nk9B4jyfCPl0OovIPM/zkoF8aGNEEVkuD70rIroDIt7W+77X3ketVYc/PT0dPIzr9dpaMWvrfo8xnk6nI+s3xNlASjOJpyATU4xhupyfn58/IIkTSYjDlGMwJaakA4Tietu2284ooDalOOcpSgwix3IyMoGO3ivoyFMq285IhL6tNybPKWivh8xy3TYSRkFHACIXGKZAXEpxBwmp996b+lBmZiHEQ9X+jwH3/yh7H2McfK4QAkXBwIoATE5o4ADAIr+YAyAeLzJPExEdTKhjQGbmEMIhvSeHKOQ2mCAy2RhHwx4YwT0mMR/CmISHdUny7Q/ffvr06enDc06BwIRwSvnp8jClHGO83a7ubgox5o8fvwEiZFrXtbVGxEnC7f3+eHlwhTb67X53hB9//mkrOwfhIKV3JzpfHgycRJbz+b7f395exmjreosx2tDAcrvd3t6ughRCmJfMjCLIAtt+K/sNcLRyX5b06x++ebxkZjwmk+v1TYRqW83rbb2rjzxNbdQUIoJPOcleu5ovl/Pl8QmARncECkF0+O1232t/eMi90+HorDqcQAhJgtkYzYdAzjnEeLu/B+ZlWepejlpCRIi2bRuBXy4XwLDve8qxbZsAigjnfC0rUiSGDx+/NcdrrY+Xpy9v73sp7iwpO0II4e32HvHQltA8n7yUgVDrfttuD+fHXltXc8feC7LHwMxc9hU4lG1HxBSl7/ucE/b99vaKIWrrEEjBS29OCcD7qIretEUKIaTRjQOnOI1RhQDAmFmHMgthYJYYubRCRMxi4BzDwcKuxypV7TiaUQIQmlmMkZEE6WByHNoYIgLEy+Xihr9gTxTIYYxBiMe4s5cSZeq1hcAApNpzyHGOZJpSWs6Xh6cPZoOZRytPl5lEhvn17UWHQ57X201SXESGUR/j3/wv/zbHoGC/mJcA3e/3ZVkY2FVBIC/zIX1K06SOe2/BosSsBEj0+euX02l+f39POQPA6XTKMURh5vD+di2lzCnGGILQGC0mAYBuPUYWmVIIgPr4eK7trqrM9OXLz+fTQ6kbkQOOo4m/Xq/MwiK325pSEihETJLgYRGGvq1bkJTxCRGr1RwRUA0UgQkDIU6Mpe15eqiNQs5oXre9l+pjmIibEC0UybvZ0P12jVN27ynQ/e2aYuylpriM3oiheJunpyB9dt8HLo+XnOrrvp8eH4djSFNVEo4s88OS+vY6epcYtlZVhClbLfP5GyeOp2Ct2eiTXFS79o3AljiDFkmi1tQgRATIQ52ZEiOwfN178dgVt1pHTEwxAD6FBzMD9CgJ9OASkjkYAwLFwK0OpdHMHYFQiaWMgoFMGzCptgARAWNKay055z6MRQgasht0D0FAYsxuLNBLbwzYmwIQAbkZ0aAAHLzpiCE4eE5p4nyIOZEh5IfnDx9EZKvbaZ7B9Pb15ymfKXLZvcIeIouQ6ni/3sfDc+uD1U/Lom5j7Ocp9N7nlH9e3/7FX/8VEf3tf/yby3wOLD6mrdwYlHPcSkt5frsXkqWVNvrWRjud52mezce05HF9g5SsHSqN+Ic//MPr6+vjtx8M4bZuOYYcJEi2MWyUU2QfEFy31x/3uwDy2LyMBmQmo3U1kWr48dNvvnz5MioNrej7r3/44e3tjfZWDU1ErtdrKeWY7Ufvan3JKadQt/242QLxGINIRKSU+sv0Y36EMgUR7cNUe233rey1k/C0zMvpYgZvt/twcpAQ573q6F7WiiaHqUmcYpzyoWXrvRsSUkQOKc8xxn0vOuzg/V7vN3cfphiC5CnnOYSgww94eV1vgRkRCVBH672DDQbUVs1s1IbAIrLX3s1DmlprHOMxg7fWmg5EBEJ122rZa+luitDB+lB1G+rI8svFzUQc6ujI5Agcw0EtPTLB3O18Wtz9uItjTIiU83ww/HvvQ0sd6o57aYcbgiNIDGMYAKEwM0pkhxECISmSni/T0/PDDz/8cGBS8zz33qdpOp/PMcq2bfu6NR33rZTSPn/+Umtfrzd0UDcDP52W5w9PCPb4cF7mfJ6Xn376CR3meR6jMWNrBYDWvazr2ntf1/W7774DgLKtpe7mQ7Wbqfa2LJMjDNOYExDW3troy/l0QF2X0ymwhBC+/Pxz7z0xnE6zgUJgiZk5LPOM5CKUUjjIxESMSK+v758+fXu4g+Wcj408pSkZeBsj5MkB9n03MyJgBO1j1HI5L5GI0VU1kGzbtixnUxCi1hoDzjmjqyClwNqqja5uyIQc2jBAJg4O6BT2rnvpEuYUl9PyOE0nCHh5fjL3MZoDSAwAsHcrOopqa62UCmrCDIzMvJzPA51iUgcMYYzBIRIROPauKU3uTmAHb5oAy7YfY3UvtbW277XUZo7dvA7d+1i3bbj9E78OGYwQmFyAElcbTjwAFQkodgcMEUkMAYG6KRCyxDbMAdXckdxVhADNXXOOj5ezCIFLTjOzlNJCkMMDJ6QYUpyXDGiIfqxPgcHJDxGSWZumMM08L+Hh8ZSyhMDa99FrqdsYI0ZBgn3f8hQfL/N33396/PD87fffvd1v03LOOX/z8ZP2npYJGPdWt+0uSK69150ZS9l+/4d/GNq+++6bYX1YR5IpL+qYUkrztO9bStG8gbUUpJbtNGfzcb/eumnIScElyVq2h+fHT999c0rTlDIB2lA0f3p4TCES+v32buRvZf32h+9P82K17/sN8dhRWWvdFN7fVh3+pz/+SCRmdr4sLy9fco6013q73/M8GXjOkxuOYUSgqut2Q4Db2yugBeZjlJvnU91bzlmHTykRwwHZHFS3YxRwhFrr9X5zhLfblUMEIHW4bw056fA+nCS1ahyDonLiPC8cgyNKjCRhWs4h5uEOADnnMbq7K2hXq2Ok5eQSBvBw5pRBAobYzQBo3SuHkHOutaP7FFPvfZ6mGHOMOYQwLeequnfd1LobsMQDmyTf61ZHVx8UxNzvZR/gA72Z7t22MdY6ttYNcKhtrRjgcroMt5CiIRgj4C8sOI4sgRhBbRDCNC3HRHV4CRIhERJzCBwDsWsWTGxMJuCJ+TTn58fzksOn5/NliR8/XgBbr+uUAyP2umtvNhq43d+vy5zLthE6WHtbb+/rfV7OiGHOCxGfz2dJ0dyH9ZRSyuG8nOpeCDintG0bqN3We4iynGZJ2YmZ2cBtNBvtdntHUHRD18uy1H27nJbb+1uM8fPnz4c7/fOHR3e/XC6neZlyRvcphW3bDv0dE9beFOXp0zefX9+Gug2/PJy3/T7GuN3edXgpbV33l5e3Y+vxi4gZsbZdnH2ZT5enR3c/cuyW+RTzNEarvQFiStkNCckRWEIgue2VJeSUrrct5wxgpeyn01Jrk0C11tFajESIkWgKSy33nDOYJ4rbfQVhNFD0sEzmo7V2Pj8BYKljKHIQ64YJmUkQYwhIplY5hOvbFmIiBYxTDBOm3fppK7tMD3W9UTRwi8yqW+uVOAAAkLhVwiAwAGBvu2sfFOV02d7XRuDMW6nHZT3n1HsfbqOZBBEMtRUSghC6gRlRSKWPppVDYKIyanCvqsQBmRBFRP5/RZ3XkizZdZ73Wtunqa42x84Zhxk4ghhStJAipJCCZEBUUKAeRI+gF9ELKSSFbsiggiTMDDCYOaZdmTTbrrV1kYdQ31dnVNbOqmX+//sZChEBqgaAKKFWQMw55hyHsSMib71Smpl3vaGSSwjjYKRUuSIqWaVG5BSmBmysKfOptTbnaLTNJZwe6zBeGQm1FND6fDgOvRdMQpBoAEIcHh73415rk3Ke5klIWYhaEo3YOjPzapVe1qi0LSE0UE51m0bucDgQ0W7cee9fv/lGIo7DQBwvOinUznZ+nufOqfPhkYyUjafjaUtpOx+OXedePr9JKaIU83wexyHlYLyp1IhSymUYbxK15ZwEU2mVueiCV5c396dDZXp3+0ZJMwy7WtK8HG8ur4goJ9F1O2s1dmNXqPZ977wvpWjnW2uxEqN0fUcCBCrjPQsEbK21EMKmo4whUcmpptM81cbv7u9iyVJrZY1WsL8YUJA3JqxziqtgQsElxZSCwEbIkSJaoCaU85lI297ZoXLr+p3XRhTK66KNLDUtcUplrZVTqWvIphumtVSByg5oPdguNagCle2XVBOJSLVUFiBZyFRqE6pUXpYQQgCQqEwDSMSZYAmFRWPmBkIqDDnFEpVSKCHGKITouiHlkmtJmUMqIeUGsgFUppBiLrTEVKlJrSoLbU0quTRBgLmWkMuaYkgplUKclEatlRAsBABIpcwnr57/6Hvf+b3PPth1Mk4PkldOi+bY0qS5IMX5/m04PWJNwCUtU83rej69+fproLrzXoK43O+MkhJa7y23Kpiu95c1l+k0i4baOBbIonXaG2mU0J3vUelc2xxiSrU1HMeLvhsPh5PUVhotUbz+9rdaIoJIYXIasdXd6LnkzprpeNAKDw8PKcTzcXpPfm0CmygxlBgAwHX+PE+oIJUMUlSmKdHD42Skk2xQIDUArYZhb4y72F2ez+fdbiQuj4fbUiKAABTGmJwr1UYVlNb6wnTDbmRma3XjJpqQRm/MykpFKq4ptio20JyxvmkQgCkX59wagrUWUPi+M9oKgZCylZJKurzYH+/vQLCUoCVCE96qkiRXCikoJUKNsG2jpW4CGcC7obE0KFChbCBBFK7ccmtMtfXdmFKy1hO1SgKUZSyhzCHkwfoUJus6qpkr1NZyzr2WDZu1jpmstcuaiGieI3Z2WcN5nvuxy5WlUltxIqUE0K0WRGWV3uRLxmiUEBtIFJQKSKxEpWatNcr3L6yVU8lLjkoZLmUbOgqJSlkUoIzTUkgppYQXL148f/ry448/9W58MiRs9ZsvfylruP/t18RFSAOiGISUIgJL4rquTUpq5PsxxhjXYOxYYtr1u7HzJUciahJqLaWUbTOph0FKk2JBaCFFIQU0bCQSl9pmgTDP52EYNBiJmohzrqhMjEFKeXh47DuXUnRaE6WwTL13JeecgtRKaWxE49jHdfHWbeGgFxcXy3oiKkIIlHCeTruLXkp0nW+tcWtr4ot+8GbUHDIJtPbt47ejGUHLvh8vLi6M9czc972ScDqdhqEjagWKEJBzUeUcXnz45KrfSYnILKi02pCLYCGlSUxpLQDQ9Q43y1/NlQXVgiC994AixpUCDcOu1hpzYUlNNCA+Hh9zWbmS1RIFKoSFCbRQEntpqVYFWKvS2hqrUCM18p1prZzndbe/PM2z0V2pSQpgxmU5WGutk3MM2jomWFJB4v3ls1QoUEbbc0q5FhEBmmMQhZs3NsSKEphl5uasqU0t0i+5BpFDFg2QmLRGbqyUKqVBg1re7+4IZCpMmYz2MWft7DGnhk1pXHJwxsRCUspcMyAAQ62ZUGmtmQoXBiKFUgvlsf7ej37w0Sff+d4Pvq+0Q1BfffWbvh9vv/l1WqZnN7vw4ipmvrs/rDkDSATDIJUenFOIwLnO6aileXpzo93QAKdwTHOdl/js2Qvb7fMaLnxf4lwgS+kEk2wCBK3zSaoWWx7HsVK7f7h7+erTsCbR1MU4rnE5ns+ucwzsOu+9P59v1xou9mNck5baajUfzsrqZZm9tcaYeZqNMV23S5wUYMzz/e3roe+UACLyvWHqYyib2pCIJegPPrgKywwqoS7n48Pz8dWFvY5NlSlqKT68eRJzMtBrY0zfW2vP5/np5XWHujf+dDphk+r5i5cNRCEWQpyms1ByUyEBgO/sxnnbUgRYSO/7i4sLKSGmRUAzCq3WfeegCYXKG++M37DLzjlrvPc+hAAS7x4fmNlox8zW+u09FMooxdZj5VQkKqp88/TJvK7WO1Ai5sTA9V8gbgCy/UsuG0rZUCYqShvXeeJWG+vOAUAqVUrNCAQoFDYhCnEpZU0xxFhqDTWvKXrvt+Z980xvZjdQErWqTJWJWkMlQclUS2GKucRaGggWULmVJjK3RFwqcwNuAKgAYFkWCcJpRA69a72tP/svf/vTn/70hz/8fs6x8+bXX/7i7/7P//z1l7+8v79FKe7u3mktnz69ubm53uIySimIG4YJKgtEDCFQzVQyQisptkrLsu73V0a783ki0ZgZpeRKm66FqAhou91uGAZr7TzPXKnz/u3rb6bzkWpd1mlbJtVaa46llOPhAantup5z7Zw/HE7LstTGtVau1Xsf1lgLgUAmuHpyJY3cTJGn6dwPA0o5TdPLly8756EJo/ST6xuFMsa4G8fNBrgByxHl4/3d8fG+cZVSShT7cQAhckxd11GppZR1XQtV55xyw872uzXl/dWl1hZlQqWJipSwLEtrwlq7hrnTu0SiVs45bNSu3W4oJQC2kqICRa01VpVFpdY5V2td5kkDWNu1SlSbtsZbdzgcoAlm9q7POaNmUJApa2MQ1caoeXd/p41jEOuy+r5vVBoIa60QYo2x64bTeR6GMcaoLRSi3KgJUZrIZdsN2iZKEyIVUrahaDlHQVUoDVpggwptWpdKgnMpuSJiYwEItVQEyYK5CdSqtcbUWuPKBKCkVoUqSLmG1Pf9NqwyxnATRFUgqvd29eo7Z6VoJX3w8urpk6s//9M/fvLhJ0RFSj2O/eHuLZf5+ZPddz75+PYNlFWu54fIs3Vy6G2ILoSUatHCrqnAvDDzfucQMSxzTAUAiHGeJjuM25201scwL0xaCSmlVnZ78LhRbU1pyYWu95fTtAhu3rr97kJpy1TGoaNmtdMhEAhutbZW0bbTad7v9xcXFzlHAEmlaK3neTbGQkPnhnVd53lalkkbWWu23j+ejufzubPucP+wnKeu61qlHKIg1lpZq4/HI1Pt/OCNTbUqxC0yL8V1A6+N3j2cFwPy6uoqp5xSmmEWQuD+5om0TipL1KYl+GFkscHi2jYQrrUOw0D0HvLU+eF0PhurGnDIsyCmUnIsNZeUUgiJmcMaqdRSaBh267rarifRGqDUer+/3O32tfLmk3Sd1VajwmmatNZKW2N93/eV8jRNLFplmtaFgec15lqdc9QYAN68u4ulJuLbx8PD6XxeQ9OaEeeY5lKqAJJSOYdKNZRCaW4tlRxTYdHqdgI721rbcHabyWsz14KSAjHXooxmEKgkt7YhZDcFqPY+M0ulWWChRg1A6k2jqZQyWmmEy/34r774wR//wfe++P7HT/fm8Hg3TWcpcZmn23evd5395IOnSkNKASSyaOOun08nlLwbh/1+1zkdwjIMXgBwE5mqt1pwNVKEacphSst5ejye7h/Pj4ewrJv7dBvQ5JypluPpQFRQMBEZpVOIrZFRaI02WolWG5MQzTkzTaf5fAQirdTnH3/WG6ekFK0ppQqTkLihXJZ5pVKZxcPdvZYmxtV73/V9iNk4Z5yVWkkpU0rOOWMMCBFDACG8No9395WK1lopxdw663JMANA5r7XmShLEfJ5661IIb377zc31NYtWGguJary4qYTe9zVxk4qbGIdRoMi1gJDMwg8u5ySEMEZXLjEnpVTKeTu+oumh3zcSrUEurAymkjWamnNn/fk8p1wFFJTa+i4V0qCIkrO+VBr2V1JiCNH2PUqljF6WWSmVagREKUWlmlItJZWSvPUg1XFZwpr2V9fKaK1tFUVa5w1SXOMajNKgGbDp5mtNzrqYFyCqVKVUrvNUcqYqrZfvwXhCAAqxaXBxm/PHnLSy255Ga51rQcRcW01pM3MKwpyz8a7mUmrRWo9Dp1B4a588efI3f/vXcV2kKE7S3de/erj9BvL5sy/+/cPpPHojuJ4Pj9evPribTqHzzniJ+uXLV7/+xT/udxda6zXUvjMfffT8m2/fvLk9gLJhyQBZ9uJmv9Na59pCrBe9N11XKhnB57vbfjcit9s3b589e1FzfDxEBFHyyqI5Z4USRO+5JrUmFFhyssbHEkUDp+TFzU0Ky3Q6LsPu7bdvd/v98f7Q9V6y6E03h7WkrJVcwyJBSiUqrb3XzDT0+3xxFUMUCCBROmO8r7lIo++//dY5p5SiFJ1SoOS6zsb4EFKO9OrVq9ZoCUsIy+U4aGGuugtC7LX12j/c3fuuc84vMeBuf+Ncl0K21g9+2G7Z+XzeMneHYdgm8IjInMex996ikswipWL9WKiV3FBq0YC5prwQlRyjUkprK5XqukFrjah8N7QGpRRnO2Z2zq3ruoYslcmFUKtlmZirUrjNtLfrKim11kZhKhRLllJqa2qhEEKK5XSeAWWKxXW9cXYrqOZSyOhuv6fGTWDOmWurteaYAaQ39ndgI71l40q56Yy20tY5JwFyTNBEq2SMMVob+X4dWlJlFs51lGmTZV3sBqvlR69e/bt/+2//89/8pz/70z96/uwmxZVKHYbh+5//4OmTFy3Hj54/n4+ndQ7f+eQzZ7tXL1+djsf7+8f7u8d5WlMsb9++5VJv9rsnV6PX+PFHL0fvcohGCmtNjNFabRWImrXCzljJWWMN58ext2E6G6U7128/RFbJrnMC2vHwyMy1sfGWoRUmBkaNscQmqBGVHLWSjUqjuhu6N6/fee8f7u43BmBvuhKiVmZbNV+MO2PkuHONItXSd11ag1JKgurd0PtOGZ1K7ob+cDoaa8dx3JxVRJRzHC92v7vDSpmYS5P6o08+DWnLicUakkLZKm28RAYRYtzikUErU3OBBtbaTVSyNQ0hBClx++oupUzTtHUSUsqGkFLS2oFSzI0aF64CRW1lqy/XdZVSbWSs93YIpQAkM3fdkHMeL3bduGPATXnles9M03SGRlskDdU6z2cj1baAVUpt/6SUUqltRHcAkFLHkM/naWvLpHVVwBpiiJmISqlcaonJWtuIlyXUVInIavM7wtEGTtr0RFzqdmrf8+q5bVd32nTW9X2/8aSU0kopJUFr/fLly7/8i7/4wx//voT2q1/83Fs9dv7y8rIxxkwhtbKu3pqh61+9erXbXwohSmUEuYmh1pSfPn22gUNv373BxtdXF7ux/8m//vOry7Hz/mK/77xNcT0dHkSjuMzLMp2PdyWuNa/rdHbGxnXLanqvzBdMG6V/nqYtdHAJaz/2W83W9/00Ta3Rpg0IyxzXmWtRRi9hZdGWaeZKjw8PKcQtp3K32zFXqUBQVRqs0lZpKtUqG2PcYKKpFOPct29eA4DtfKk15dx3fpnnrXzavLLMnAsZ7S52l3eHo/WOWPT9+OLZ87QGo/QWwRNjbK0pFCyAdedrpSqaFgJhkzhYVFI0mUJ03iCoUFZERIm1kjEGlMw5KxZa2+PxKBBQqiZab2xJsXCWCPN0VBK2tjSHtXNecAWjKFXX+xgDwsql9X6YjkuYVqVVKUEQs0ACaCCkErEuxkLjMJ1mEEY2Y3TXKdZKlTULrh0K5rrv+hCWznlmpYFLOTdqmxQXUHhnUgiopLbdxJgbRACQyvv+PQqhCSZGlCAAQRC0JkiipEIebWyqEAGAaFSBrbExxr2/+N7nn3/xox+9fHrde3M+vmvYvvrlN7uL62/vpv7qpX/2+Xw8CEpPuqu3bx768QLbIhvcPZxDii+evHiY47PnTy+ffpCW+7vjg+51PeVlPhIFKeUHry77n/z+3//9P4ASd7Uco5DK2eZSWLCJca+USvvOp3JelsnZZ8RumYJWRilzcXGxpliJd7uRA6FBBDuO17fxNZecUth1tpbkIQMW0xtycp3PUizMhYi9lo0K5VRADJ0mAIWyoUJu3/n4w9/8+ssmSSoGDr3WvUanZGySQgqVJaCUslLp+t47Vytf7q8QESrs+mGDpJYMUqrTw6PRMteKnYuIMWehdKPiUYdl9f2o/Igb4odrjss6z3MpZcPmbpv3ZVm2Z04p45yxVkvEEAIKECTSmrbcqu3LfJMUbZblbYLdWmtCLMuy5asSNQT1cPdojEOUtdZljc52RIRKbU+zEKJQ25IViEqpNedYShIShURQcJxOIQcGPi9nbSCVuCG1AeDy8lpr7bSJIWwmIaImlRKocky1Vq0NSp1SasTvI4jeX4i2eRMiWqWBGyJ2XZdS2goAraGJIqAKwSiYuV5fX37xxRc/+9nPXrx4cbm/zqksSyiFrq6fFRIhpC+/+u2w2z978bKBnNaT6e3h9Hj3ePftm9e393coJWrcXe4/+PDl/vqq88Mf/fGfCDRXV1ebqmtZpuPx8PrN176TTZDWEgVP52VdV+udsb73Q1zTPE3Xlxdc8vnx4Xy8Vyg3CMrrt7c//+Uvvv76m4eHx9ZaSqn33ZvX33ApOc5GtppXa9Tx/r7GANxOhwdoQmuplARoUoE1SiooNaSUAJC5Icpa+be/fb2u0Vg/r7HrL6ZlRQRnTVrDMh2JKpVirXHa5JSwiVQqC0ilglQxMzV5mkKmusWhxBi3zXsqRRq7v7kx1leAm5sbIcQ8n1XXO2YSArfwFCng9HiwvYprcK4z1sScjDFNIDCt6+JcN3QjFVZKoZDWWmI+n8+u8ynW7XRuHeWyLJ33tVZrvFamCkKUrZJSJoasrNJS10pLWAXDNAWU22CEKlMOOdWirdzQBkJASkmiEUKM45hSqLUqpaSEcexzCtbadZlrrUS84UtFK6VQrdlLrDUrAKU0ANTGhZsyNlUGDZtXffuV30qXWrO1dhPJd11XKguEVBOiEIKVUkPXI+JHH37wk5/8m81L9Pj4uM7HjUxm/I6YmXBdo7W+G4dSkhtUEUV36v7hRASm80LicTqDFP/jf/+vp0+uhq6TTllr73/z1X6/M870w0BEw8XI0M63h88/+/Qf/+mXV3u3xsQVvVfLFLk25jyfJ9n48PBWgBJ+ttbGmB8fj6FkY1XIiY+HrutAro2Kd5JqAUCjVV5ng8Bcl/mYwmqGoVL23rXWhMScgsTGDcISlNHzaTbOCSGnJVFFgTrlvCyn3rk//OEP//mXv7BGD+OlEGL37KaU0vf9Ms9EVBlba84NIRdrbUpp3O1rKRu8t+t7ALi62qdCubQ5rsPVNQJDE9SAiLE2YhIbbGBjQ0pQy7xuz/H9wy0RO+eZABF3u71SulWiUrjUsR+maTqdThvqbfuYNwTDhqFS2gJI6900TbVSnNPpNClpAOB0OIiGW4VaqPaDB4AGIISg2hBRYKPG6zprraVUiMpaCyBzzgDCWsVcAFupSSAoJbu+3yC6NSdjVHn/VwEAJAJI67pcyHdDylVq3VorJaUUWiPm2qgqBMGEAjZKd9/3AgE3AayWvnMoASWUlH/wve//9U//4+aDy/k9eyOlNAzDukZnO22tEMDMMSdQ0jjtOn+Yz5nqz7/8VSr59dt3d493v/n2m37srp9cPXvxrLsYr26eNrTXTz/8/S/+9PnLj6+fvPyDL/7k9370hxcXI9d0dTmGdW1EqEXhUjK1Bpe7y7SsQPX55WWn5OHxfjqdv/3m65QCCljXdT7NUgrmqoCRK4UgcuKc0jJTSUyJSpYIIJr3LudcKVeK0IrzWghmSvM8S1DrElMqIDQIRSRu7w6Pp7MAeTifHx8fX7142ah4Z/q+X6czAMSwCuLdMDrrh34MMXVdH3J2w3B3OOSaHo4PAsF5e3l9eZongUAAQulud4Havbt/RKn6vof//t/+6zhcxiV03Q5Y5sxe+yZKa602NsZp3TeUIKTxsuaScwWAHOLm+ZqWXIlKKVKrzFQba61LituRrSHvdrvj46G1VjMJYoSWSwBo1ptpPvXjGGMUzFRbLlECLsvSBKJGFtyAlVLHw2F/caVVVwohqg3uPM9nKUFJSURcspIghcg5r2FuNZ6Pj52R8+Pbq9GH6dh755hSKcpbdv6Xbx8i2NhEagURgZtobUvXbJUaSpBCCJFrFspUFikVVmIrnpQyf/kf/uK7n3//9evXn373kxKDRkCm27dvmCtqHC+vWsOS20beu3my3w3+yy9/TkRdNxjjbt/d/+Y3X3/22WdU07jzIcy9w5vBX+7Gx9t3FjpjjPd9zvl4PCKitirGx6+++oorrdP666+/TaWKhoDt048/uX37uvMDEQiUx9OUlcmFGujTNDcptTFKy91or/bXClA0QsFCtnHsJVcp5bIstVat9bt377quk8o7Z5jrsBuWZRECChMlOM+L63pr/OFw8t5+59NPv337FQAY56SCEhMKUCiakcfj8cOPPzqfp953NWWJ+PzmZarl/v6+G/rjvFxeX51OJ9maMyqncHNzHUJ4PB6M87a7ePvm3eeff771Z1KAaIzK9GsqpeHhNIWUtTGgoZGw1pdYYoyplloYUFeCkCkXMtYXLqixtvcN7++8YMx8PB5jie/zgJWc51lq0xoYZ21v25ZNIUga6YZuDQtxXtNSalRKppL6vgNkpWWpKaU0z+vF7ipnak0ygXedNU6ics5Z6wVbqqjMsC5xWpdcotZ6Xs7GqJQjoliWSSlJVAQqqVXTck0xMxWmJlAqVFo2wYhgjFYI2igA2AjI2+RBa70h5b33znV//id/9v3v/kAwWO3u7t49Hu4fD/fWmZxX5xVxiuHgLULL3koU9fbNm6+++grBadUr6bZIkL7vtFattfv723U+Hk8PSrfz9JDy2l+6SCmUPFxdPn/10f1p+rv/+4//8E//HGJ2zl3fXHz86pnXmFMFKfrRzSEcjg9d1z0+PqaQW0lGgUbeD35whkpcpjNQUVDTetYgTqcToqImQohCgNbmYn/pfPfqw4/WEJVS286i5LyxMIw03pmx7ySgUiqWvK7x7v6+926/361hvrt/nJZw/3igJkOkZ88/DLEY6x8Oj6lmgeJ0vLcahtHN87Fx5pqslcwsJEqlNofWtl8wSmqtM3EWePXslelGEhJPSwZpCaTxfSEqpYT4PubCOTcMwzheICohUNvO96N1HTXeX10KwQJo20B677dZaUppv98zc/z/3Gu1JX6UxrFk1/nNZDItE7WaUsg5l5JCnJooKYVcU84xpaC1JNF2u12prKSJIRnj1jW2BjHGvh9ba4gGwSBK5zprXUppmk6lhHk5AZBUaIwCbMx1jWFzu2fm3FqspTJt09ZtCmaUAoC2sX6E2MYixrlcCzPvdrunT5//1V/91Y9//GPRkKgBSKVQa/n8+bPXr7+5eXIV46q1ohqPh9u0HvO6MlVuFXHzddoYE3N79cEH3/vud6+vrrqu48K1VkSephMKNgZvH15L05Zy/tWvv1xLOIcplJyIMtVpmU+nw243PHt6vRuQme7ub42R3vuUkpRaSqmBRSm9MUqCs9oqOQ5dq3GZDt4oibBR2JmEUopbk2oTDwRqoh93CEpK3fc9M2+cGCLa7Ybr60sp4d3tm42kHmNMYaGa+75/8eIFSCW1bUI+ffJijenbt++ERGW0Mrphc1bN01FhY8qtVWNl31ltVc7ZWJ1ScM7cPH0qEJjr5dW+tWaMEyCXVE9z+H/bVWWDGmotIAAAAABJRU5ErkJggg=="},"metadata":{}}]},{"cell_type":"code","source":"donuts = img_to_array(donuts)\npizza = img_to_array(pizza)\nice_cream = img_to_array(ice_cream)\n\ndonuts = donuts/255\npizza = pizza/255\nice_cream = ice_cream/255\n\n\ndonuts = donuts.reshape(1,224,224,3)\npizza = pizza.reshape(1,224,224,3)\nice_cream = ice_cream.reshape(1,224,224,3)","metadata":{"execution":{"iopub.status.busy":"2024-05-14T18:18:25.183126Z","iopub.execute_input":"2024-05-14T18:18:25.183470Z","iopub.status.idle":"2024-05-14T18:18:25.191343Z","shell.execute_reply.started":"2024-05-14T18:18:25.183443Z","shell.execute_reply":"2024-05-14T18:18:25.190334Z"},"trusted":true},"execution_count":55,"outputs":[]},{"cell_type":"code","source":"p1 = (model_dn.predict(donuts)).argmax()\n\nprint(\"Class \",p1,\": \",classes[p1],sep='')","metadata":{"execution":{"iopub.status.busy":"2024-05-14T18:18:27.819040Z","iopub.execute_input":"2024-05-14T18:18:27.819389Z","iopub.status.idle":"2024-05-14T18:18:52.770848Z","shell.execute_reply.started":"2024-05-14T18:18:27.819363Z","shell.execute_reply":"2024-05-14T18:18:52.769943Z"},"trusted":true},"execution_count":56,"outputs":[{"name":"stdout","text":"\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m25s\u001b[0m 25s/step\nClass 31: donuts\n","output_type":"stream"}]},{"cell_type":"code","source":"p2 = (model_dn.predict(pizza)).argmax()\n\nprint(\"Class \",p2,\": \",classes[p2],sep='')","metadata":{"execution":{"iopub.status.busy":"2024-05-14T18:18:52.772366Z","iopub.execute_input":"2024-05-14T18:18:52.772652Z","iopub.status.idle":"2024-05-14T18:18:52.863023Z","shell.execute_reply.started":"2024-05-14T18:18:52.772628Z","shell.execute_reply":"2024-05-14T18:18:52.862148Z"},"trusted":true},"execution_count":57,"outputs":[{"name":"stdout","text":"\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 33ms/step\nClass 76: pizza\n","output_type":"stream"}]},{"cell_type":"code","source":"p3 = (model_dn.predict(ice_cream)).argmax()\n\nprint(\"Class \",p3,\": \",classes[p3],sep='')","metadata":{"execution":{"iopub.status.busy":"2024-05-14T18:18:52.864207Z","iopub.execute_input":"2024-05-14T18:18:52.864637Z","iopub.status.idle":"2024-05-14T18:18:52.951672Z","shell.execute_reply.started":"2024-05-14T18:18:52.864603Z","shell.execute_reply":"2024-05-14T18:18:52.950687Z"},"trusted":true},"execution_count":58,"outputs":[{"name":"stdout","text":"\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 31ms/step\nClass 58: ice_cream\n","output_type":"stream"}]},{"cell_type":"code","source":"","metadata":{},"execution_count":null,"outputs":[]}]}