/Deep_learning_explorations

Codes and experiments while learning and exploring deep learning by personal curiosity and online courses

Primary LanguageJupyter NotebookMIT LicenseMIT

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