MLT Dive into Deep Learning: Study and coding sessions
Recently, Kshitij and I led bi-weekly code-focused sessions by reimplementing selected models from the book Dive into Deep Learning for Machine Learning Tokyo. These sessions were meant for people interested in implementing models from scratch. All the sessions are linked below and are available on Github.
Sessions
| Topic | Chapter | Slides | Notebook | Video |
|---|---|---|---|---|
| Setup & MLP | Multilayer Perceptrons | Slides | Notebook | |
| CNNs | Convolutional neural networks | Slides | Notebook | |
| RNNs | Recurrent Neural Networks | Slides | Notebook | |
| Attention Mechanisms 1 | Attention Mechanisms | Slides | Notebook | |
| Attention Mechanisms 2 | Attention Mechanisms | Slides | Notebook | |
| GANs | Generative Adversarial Networks | Slides | Notebook |