55:51

CS480/680 Lecture 21: Generative networks (variational autoencoders and GANs)

1:40:41

CS480/680 Lecture 18: Recurrent and recursive neural networks

1:05:23

CS480/680 Lecture 23: Normalizing flows (Priyank Jaini)

1:22:38

CS480/680 Lecture 19: Attention and Transformer Networks

13:55

85a - What are Autoencoders and what are they used for?

49:06

Unsupervised Learning with Autoencoders | Christoph Henkelmann

15:05

Variational Autoencoders

26:56

Deep Learning to Discover Coordinates for Dynamics: Autoencoders & Physics Informed Machine Learning