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

• [ ] Read Part I of the Deep Learning Book found here
• [ ] Use this cheat sheet to help understand any math notation, found here
• [ ] Watch Build a Neural Net in 4 Minutes
• [ ] Read Neural Net in 11 lines
• [ ] Type out the neural network code yourself in a text editor, compile, and run it locally (using no ML libraries)
• [ ] Watch Backpropagation in 5 minutes

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