Teaching
Deep learning sessions
Kshitij and I ran code-focused sessions withMachine Learning Tokyoon selected chapters of Dive into Deep Learning. The sessions explored how to implement models from scratch; their materials remain available in thesession repository.
Session materials
Topics and resources
| Session | Chapter | Slides | Notebook | Recording |
|---|---|---|---|---|
| Setup & MLP | Multilayer perceptrons | Slides | Notebook | Watch session |
| CNNs | Convolutional neural networks | Slides | Notebook | Watch session |
| RNNs | Recurrent neural networks | Slides | Notebook | Watch session |
| Attention mechanisms 1 | Attention mechanisms | Slides | Notebook | Watch session |
| Attention mechanisms 2 | Transformers | Slides | Notebook | Watch session |
| GANs | Generative adversarial networks | Slides | Notebook | Watch session |