This is the Curriculum for "Learn Deep Learning in 6 Weeks" by Siraj Raval on Youtube
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Learn_Deep_Learning_in_6_Weeks

This is the Curriculum for "Learn Deep Learning in 6 Weeks" by Siraj Raval on Youtube

Overview

This is the curriculum for this video on Youtube by Siraj Raval

Week 1 - Feedforward Neural Networks and Backpropagation

Week 2 - Convolutional Networks

  • Watch the Convolutional Networks Specialization on Coursera, found here.
  • Read all 3 lecture notes under Module 2 for Karpathy CNN course found here
  • Watch my video on CNNs here and here
  • Write out a simple CNN yourself (using no ML libraries)

Week 3 - Recurrent Networks

  • Watch the Sequence Models Specialization on Coursera, found here
  • Watch my videos on recurrent networks, here, here, and here
  • Read Trask's blogpost on LSTM RNNs found here
  • Write out a simple RNN yourself (using no ML libraries)

Week 4 - Tooling

  • Watch CS20 (Tensorflow for DL research). Slides are here. Playlist is here
  • Watch my intro to tensorflow playlist here
  • Read Keras Example code to quickly understand its structure here
  • Learn which GPU provider is best for you here
  • Write out a simple image classifier using Tensorflow

Week 5 - Generative Adversarial Network

  • Watch the first 7 videos you see here
  • Build a GAN using no ML libraries
  • Build a GAN using tensorflow
  • Read this to understand the math of GANs, but don't worry if you dont understand it all. This is the bleeding edge here

Week 6 - Deep Reinforcement Learning

  • Watch CS 294 here
  • Build a Deep Q Network using Tensorflow