This repository represents all things that I am learning by doing and practicing. Some of those are written using built in libraries and some are manually implemented.

Introduction to Deep Learning by National Research University Higher School of Economics

• Week 1 Introduction to Optimization

  • Linear models and optimization

• Week 2 Introduction to Neural Networks

  • Intro to tensorflow
  • MNIST digit classification with TF
  • Solving MNIST with Keras
  • My very own neural network

• Week 3 Deep Learning for Images

  • My first CNN on CIFAR-10
  • Fine-tuning InceptionV3 for flowers classification

• Week 4 Unsupervised Representation Learning

  • Simple autoencoder
  • Generative Adversarial Networks

• Week 5 Deep Learning for Sequences

  • Generating names with RNNs
  • RNNs in Keras

• Week 6 Final Project

  • Image Captioning Final Project