Quick links: Schedule | Forum | BRUTE | Labs
| Date | Lecture | Teacher | Materials | Reading |
|---|---|---|---|---|
| 19.02.2025 | 1. Recap of Machine Learning, Multi-Layer Perceptron | AS | slides | Goodefellow 5.2-5.5 |
| 26.02.2025 | 2. Backpropagation | AS | slides | Implicit Layers, Chapter 1 |
| 05.03.2025 | 3. Convolutional Neural Networks | AS | slides | |
| 12.03.2025 | 4. Training Deep Models | AS | slides | |
| 19.03.2025 | 5. Regularization Methods for NNs | AS | slides | Goodfellow Chapter 7 |
| 26.03.2025 | 6. Stochastic Gradient Descent (SGD) | AS | slides | |
| 02.04.2025 | 7. Adversarial Patterns, Robust Learning Approaches | AS | slides | |
| 09.04.2025 | 8. Adaptive Optimization Methods | AS | slides | |
| 16.04.2025 | 9. Learning Representations I: Word Vectors, Metric Learning | AS | slides | |
| 23.04.2025 | 10. Learning Representations II: Unsupervised Learning, VAE | AS | slides | Tutorial on VAEs, t-SNE |
| 30.04.2025 | 11. Graph Neural Networks | GT | slides | |
| 07.05.2025 | 12. Self-Attention, Transformers | GT | slides | |
| 14.05.2025 | — Rector's day — | |||
| 21.05.2025 | 13. Responsible AI | GT / guest lecture Noa Garcia |