Lecture 6: Unsupervised Learning and Generative Models

Subspace models, autoencoders, unsupervised loss, generative adversarial nets, domain adaptation.

Slides

Videos

• Main lecture

• Supplementary material: Stabilizing GAN training

Lecture Notes

Accompanying notes for this lecture can be found here.