55:51

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

1:40:41

CS480/680 Lecture 18: Recurrent and recursive neural networks

1:05:56

A tutorial on Bayesian optimization with Gaussian processes

32:47

Lecture 31 : Autoencoder Training

1:14:55

CS480/680 Lecture 24: Gradient boosting, bagging, decision forests

49:06

Unsupervised Learning with Autoencoders | Christoph Henkelmann

1:22:38

CS480/680 Lecture 19: Attention and Transformer Networks

1:07:24

CS480/680 Lecture 22: Ensemble learning (bagging and boosting)