Course website: http://bit.ly/DLSP21web
Playlist: http://bit.ly/DLSP21YouTube
Speaker: Yann LeCun

Chapters
00:00:00 – Supervised learning
00:03:43 – Parametrised models
00:07:23 – Block diagram
00:08:55 – Loss function, average loss
00:12:23 – Gradient descent
00:30:47 – Traditional neural nets
00:35:07 – Backprop through a nonlinear function
00:40:41 – Backprop through a weighted sum
00:50:55 – PyTorch implementation
00:57:18 – Backprop through a functional module
01:05:08 – Backprop through a functional module
01:12:15 – Backprop in practice
01:33:15 – Learning representations
01:42:14 – Shallow networks are universal approximators!
01:47:25 – Multilayer architectures == compositional structure of data