Deep Unsupervised Learning

CS294-158 Deep Unsupervised Learning by Pieter Abbeel at University of California, Berkeley.

Week 1 (1/30):

1. Lecture 1a: Logistics
2. Lecture 1b: Motivation
3. Lecture 1c: Likelihood-based Models Part I: Autoregressive Models

Week 2 (2/6):

1. Lecture 2a: Likelihood-based Models Part I: Autoregressive Models (ctd) (same slides as week 1)
2. Lecture 2b: Lossless Compression
3. Lecture 2c: Likelihood-based Models Part II: Flow Models

Week 3 (2/13):

1. Lecture 3a: Likelihood-based Models Part II: Flow Models (ctd) (same slides as week 2)
2. Lecture 3b: Latent Variable Models - part 1