On section of the notes I've written while studying "Machine Learning: A Probabilistic Perspective, Kevin P. Murphy"
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Updated
Sep 11, 2019
On section of the notes I've written while studying "Machine Learning: A Probabilistic Perspective, Kevin P. Murphy"
ml5 (friendly machine learning for the web) SharePoint Framework (SPFx) extension
Computer Vision and Deep Learning
In this project, I have used a custuomized Lenet-5 convolutional neural network architecture to classify German traffic signs.
Various applications of deep learning have been demonstrated.
Neural networks: multi-layer perceptrons (MLPs)
Implement basic machine learning algorithm from scratch
Feed Forward Neural network: Implemented for bond fluctuation model utilities.
Applied Softmax Classifier on Cifar10 Dataset
Welcome to the Emotion Classifier project! This repository contains a comprehensive solution for emotion classification using Natural Language Processing (NLP) and deep learning techniques.😭🤣🙂
Multilabel image classification with softmax by python and tensorflow
Applying neural networks on the MNIST dataset (from scratch & using tf)
"This program trains a model using 'SVM' or 'Softmax' and predicts the input data. Loss history and predicted tags are displayed as results."
Implementation of the model "Hedgehog" from the paper: "The Hedgehog & the Porcupine: Expressive Linear Attentions with Softmax Mimicry"
Simple neural network classifier on the MNIST digit set
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