My notes from MIT 6.S191 introduction to Deep Learning Course.

They are wonderfully illustrated with diagrams and code which can be even understood by people just starting out Deep Learning.

The actual notes are in the introtodeeplearning-MIT-6.S191.pdf file.

They cover the following topics :

1. Introduction to Deep Learning
2. Recurrent Neural Network
3. Convolutional Neural Network
4. Deep Generative Modelling
5. Reinforcement Learning
6. Deep Learning new froniers

There were 3 labs in the course and the solution python notebooks can be found in :

1. Lab1 covering the introduction and RNNs
2. Lab2 covering CNNs and Deep Generative Modelling
3. Lab3 covering RL

Course Website : www.introtodeeplearning.com