CS294-158 Deep Unsupervised Learning Spring 2019
Lectures, papers and assignments for Berkeyls Deep Unsupervised Learning Course are now available here:
https://sites.google.com/view/berkeley-cs294-158-sp19/home.
The course deals with 2 areas of deep learning, namely Deep Generative Models and Self-supervised Learning.
Topics are:
- Generative adversarial networks
- variational autoencoders
- autoregressive models
- flow models
- energy based models
- compression
- self-supervised learning
- semi-supervised learning.
The course is currently ongoing so not all lectures are available yet.