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