Deep_learning_explorations

A repository of codes and experiments while learning and exploring deep learning by online courses and work.

Contents

1) Multi-Layer perceptron from scratch using numpy on MNIST dataset 2) Multi-Layer perceptron using Tensorlfow on MNIST dataset 3) Multi-Layer perceptron using FastAI & Pytorch on MNIST dataset 4) Shallownet using FastAI on CIFAR10 dataset 5) LeNet using FastAI on MNIST dataset 6) MiniVggnet using FastAI on CIFAR10 dataset 7) Multi-Label facial attributes classfication using FastAI and OpenCV 8) Image_similarity_search using FastAI and Local semantic hashing 9) Alexnet from scratch on Dogs vs. Cats dataset using Pytorch and FastAI 10) MiniGoogLenet using FastAI on CIFAR10 dataset