Lecture 6: Unsupervised Learning and Generative Models
Subspace models, autoencoders, unsupervised loss, generative adversarial nets, domain adaptation.

Slides
- Main lecture
- Supplementary slides
Videos
- Main lecture
- Supplementary material: Stabilizing GAN training
Lecture Notes
Accompanying notes for this lecture can be found here.