CS480/680 Lecture 15: Deep neural networks
1:15:18
CS480/680 Lecture 16: Convolutional neural networks
1:07:24
CS480/680 Lecture 22: Ensemble learning (bagging and boosting)
1:40:41
CS480/680 Lecture 18: Recurrent and recursive neural networks
59:00
An Introduction to Graph Neural Networks: Models and Applications
1:01:31
CS480/680 Lecture 17: Hidden Markov Models
1:22:38
CS480/680 Lecture 19: Attention and Transformer Networks
1:05:23
CS480/680 Lecture 23: Normalizing flows (Priyank Jaini)
1:11:15