This repository contains material and projects executed during EVA program
S.No. | Lesson | |
---|---|---|
1 | DEEP LEARNING & CONVOLUTIONS | Assignment |
2 | NEURAL NETWORK ARCHITECTURE | Assignment |
3 | NEURAL NETWORK KERNELS | Assignment |
4 | ARCHITECTURAL BASICS | Assignment |
5 | BATCH NORMALIZATION & REGULARIZATION | Assignment |
6 | ADVANCED CONVOLUTIONS | Assignment |
7 | NETWORK ARCHITECTURES & RECEPTIVE FIELDS | Assignment |
8 | Everything under the Sun! | |
9 | DATA AUGMENTATION | Assignment |
10 | INTERPRETABILITY (KERNEL & CHANNEL VISUALIZATIONS) | Assignment |
11 | ADVANCED CONCEPTS (TRAINING & LEARNING RATES) | Assignment |
12 | SUPER CONVERGENCE | Assignment |
13 | RESNETS - PART I | Assignment |
14 | RESNETS - PART II | Assignment |
15 | INCEPTION | |
16 | DENSENETs | Assignment |
17 | EMBEDDED DEVICES | |
18 | SHUFFLENET V1 (2018 CVPR) | |
19 | OBJECT LOCALISATION - YOLO | Assignment |
20 | TRANSFER LEARNING | Assignment |
21 | RCNN - FASTER RCNN & MASK RCNN | |
22 | ADVANCED FACE RECOGNITION PART 1 | |
23 | FACE PROCESSING, GENERAL TRACKING & STABILIZATION | |
24 | SERVERLESS COMPUTING | |
25 | GENERATIVE ADVERSARIAL NETWORKS | Assignment |
26 | UNET, ENCODER-DECODER ARCHITECTURE, ATTENTION MECHANISMS & LATENT SPACES | |
27 | AUTOENCODERS & VARIATIONAL AUTOENCODERS |
S.No. | Lesson | |
---|---|---|
1 | NEURAL WORD EMBEDDINGS | Assignment |
2 | RECURRENT NEURAL NETWORKS | |
3 | LSTMs | |
4 | GRU, ATTENTION MECHANISM & MEMORY NETWORKS |