Quick links: Schedule | Forum | BRUTE | Labs
| Date | Lecture | Teacher | Materials | Notes / Reading |
|---|---|---|---|---|
| 22.02.2023 | 1. Introduction to Neural Networks | BF | slides | |
| 01.03.2023 | 2. The Power of Neural Networks | BF | slides | |
| 08.03.2023 | 3. Backpropagation | AS | slides | |
| 15.03.2023 | 4. Stochastic Gradient Descent (SGD) | AS | slides | |
| 22.03.2023 | 5. Convolutional Neural Networks | AS | slides | |
| 29.03.2023 | 6. Weight Initialization, Batch Normalization, Resnets, Transfer Learning | BF | slides | |
| 05.04.2023 | 7. Regularization Methods for NNs | AS | slides | Goodfellow: 7.1-7.12 |
| 12.04.2023 | 8. Adaptive SGD Methods | AS | slides | |
| 19.04.2023 | 9. Adversarial Patterns. Robust Learning Approaches | BF | slides | |
| 26.04.2023 | 10. Learning Representations I: Metric Learning, Word Vectors | AS | slides | |
| 03.05.2023 | 11. Learning Representations II: t-SNE, Unsupervised RL | AS | slides | |
| 10.05.2023 | — Rektor's day — | |||
| 17.05.2023 | 12. Learning Representations III: Variational Autoencoders | BF | slides | |
| 24.05.2023 | 13. Recurrent Neural Networks, Transformer networks | BF | slides |