| Wk |
Date |
Description |
Materials |
Deadlines |
| 1 |
Tue, Mar 31 |
Lecture 1: Introduction & History |
slides recording |
|
| Thu, Apr 2 |
Lecture 2: Image Classification with Linear Classifiers |
slides recording |
|
| Fri, Apr 3 |
Recitation: Broadcasting + Matrix Calculus |
slides recording |
|
| 2 |
Tue, Apr 7 |
Lecture 3: Regularization and Optimization |
slides recording |
A0 Due (Wed) |
| Thu, Apr 9 |
Lecture 4: Neural Networks and Backpropagation |
slides recording |
|
| Fri, Apr 10 |
Recitation: Backpropagation |
slides recording |
|
| 3 |
Tue, Apr 14 |
Lecture 5: Convolutional Neural Networks (CNNs) |
slides recording |
|
| Thu, Apr 16 |
Lecture 6: Activations, Normalizations, Optimizers |
slides |
A1 Due |
| Fri, Apr 17 |
Recitation: CNNs + Vectorization |
|
|
| 4 |
Tue, Apr 21 |
Lecture 7: Vision and Language Tokenization |
|
|
| Thu, Apr 23 |
Lecture 8: RNNs & LSTMs |
|
|
| Fri, Apr 24 |
Recitation: Exam Review |
|
|
| 5 |
Tue, Apr 28 |
Midterm |
|
A2 Due (Mon) |
| Thu, Apr 30 |
Lecture 10: Attention and Transformers |
|
Proposal Due |
| Fri, May 1 |
Recitation: Who's Who of Deep Learning |
|
|
| 6 |
Tue, May 5 |
Lecture 11: Modern Architectures |
|
|
| Thu, May 7 |
Lecture 12: Structured Prediction |
|
|
| Fri, May 8 |
Recitation: Research 101 (and maybe video understanding) |
|
A3 Due (Mon) |
| 7 |
Tue, May 12 |
Lecture 13: Self-supervised Learning |
|
|
| Thu, May 14 |
Lecture 14: Foundation Models – Language |
|
|
| Fri, May 15 |
Recitation: TBD |
|
|
| 8 |
Tue, May 19 |
Lecture 15: Foundation Models – Multimodal |
|
|
| Thu, May 21 |
Lecture 16: Interpretability |
|
Milestone Due (Fri) |
| Fri, May 22 |
Recitation: Generative world models |
|
A4 Due (Sat) |
| 9 |
Tue, May 26 |
Lecture 17: Reinforcement Learning and Agents |
|
|
| Thu, May 28 |
Lecture 18: Generative Models – Autoregressive & Quiz |
|
|
| Fri, May 29 |
Recitation: Building web agents |
|
|
| 10 |
Tue, Jun 2 |
Lecture 19: VAEs and GANs |
|
|
| Thu, Jun 4 |
Lecture 20: Diffusion |
|
|
| Fri, Jun 5 |
Recitation: None |
|
A5 Due (Sat) |
| FE |
Mon, Jun 8 |
Poster Presentation |
|
Final Report Due |
Lecture
Recitation
Exam
Poster Session