Quick links: Schedule | Forum | BRUTE | Labs
| Date | Lecture | Teacher | Materials | Reading |
|---|---|---|---|---|
| 21.02.2024 | 1. Introduction to Neural Networks | BF | slides | McCulloch-Pitts Neuron |
| 28.02.2024 | 2. The Power of Neural Networks | BF | slides | |
| 06.03.2024 | 3. Backpropagation | AS | slides | Implicit Layers, Chapter 1 |
| 13.03.2024 | 4. Stochastic Gradient Descent (SGD) | AS | slides | |
| 20.03.2024 | 5. Convolutional Neural Networks | AS | slides | Geometric Deep Learning |
| 27.03.2024 | 6. Weight Initialization, Batch Normalization, Resnets, Transfer Learning | BF | slides | |
| 03.04.2024 | 7. Regularization Methods for NNs | AS | slides | Goodfellow Chapter 7 |
| 10.04.2024 | 8. Adaptive SGD Methods | AS | slides | |
| 17.04.2024 | 9. Adversarial Patterns. Robust Learning Approaches | BF | slides | |
| 24.04.2024 | 10. Learning Representations I: Metric Learning, Word Vectors | AS | slides | |
| 01.05.2024 | — Holiday — | |||
| 08.05.2024 | — Holiday, replacement day Thu 09.05.2024 — | |||
| 09.05.2024 | 11. Learning Representations II: t-SNE, Unsupervised RL | AS | slides | |
| 15.05.2024 | 12. Learning Representations III: Variational Autoencoders | BF | slides | |
| 22.05.2024 | 13. Recurrent Neural Networks, Transformer networks | BF | slides |