CS480/680 Lecture 21: Generative networks (variational autoencoders and GANs)
1:07:24
CS480/680 Lecture 22: Ensemble learning (bagging and boosting)
1:22:38
CS480/680 Lecture 19: Attention and Transformer Networks
29:54
Understanding Variational Autoencoders (VAEs) | Deep Learning
1:01:31
CS480/680 Lecture 17: Hidden Markov Models
1:05:23
CS480/680 Lecture 23: Normalizing flows (Priyank Jaini)
20:09
Variational Autoencoders | Generative AI Animated
1:40:41
CS480/680 Lecture 18: Recurrent and recursive neural networks
31:46