Week	Topic	Jupyter notebooks
1	Introduction (pdf)	Pytorch basics
2	Neural networks (pdf)	Backprop
3	Deep neural networks (pdf)	Optimizers
4	Convnets (pdf)	Convolution
5	Object detection (pdf)	ResNets
6	Recurrent networks (pdf)	RNN basics
7	Transformers (pdf)	Vision transformers
8	NLP applications (pdf)	Intro to BERT
9	Deep RL: Policy gradients (pdf)	Policy gradients
10	Deep RL: Q-learning	Q-learning
11	Generative adversarial nets	Conditional GANs
12	Diffusion Models	-
13	Self-supervised learning	-

Table of contents