26. Structure of Neural Nets for Deep Learning
52:38
27. Backpropagation: Find Partial Derivatives
1:09:58
MIT Introduction to Deep Learning | 6.S191
53:34
6. Singular Value Decomposition (SVD)
3:25:21
Michael Bronstein - Geometric Deep Learning | MLSS Kraków 2023
1:00:19
MIT 6.S191: Reinforcement Learning
1:27:43
Hot Dog or Not Hot Dog – Convolutional Neural Network Course for Beginners
52:44
22. Gradient Descent: Downhill to a Minimum
56:07