Quick links: 
[[https://intranet.fel.cvut.cz/cz/education/rozvrhy-ng.B232/public/html/predmety/61/70/p6170206.html | Schedule]] | 
[[https://cw.felk.cvut.cz/forum/forum-1874.html|Forum]] | 
[[https://cw.felk.cvut.cz/brute/teacher/course/1595| BRUTE]] | 
[[https://cw.fel.cvut.cz/b232/courses/bev033dle/labs/start | Labs]]


===== Lectures Syllabus =====
^ Date ^ Lecture ^ Teacher ^ Materials ^ Reading ^
| 21.02.2024 ^ 1. Introduction to Neural Networks                               | BF | {{:courses:bev033dle:dl-neurons-nets.pdf| slides }} | {{https://towardsdatascience.com/mcculloch-pitts-model-5fdf65ac5dd1 | McCulloch-Pitts Neuron}} |
| 28.02.2024 ^ 2. The Power of Neural Networks                                  | BF | {{:courses:bev033dle:dl-losses-gen-bounds.pdf| slides }}| |
| 06.03.2024 ^ 3. Backpropagation                                               | AS | {{ :courses:bev033dle:backprop.pdf | slides}}| [[https://implicit-layers-tutorial.org/ | Implicit Layers, Chapter 1]]|
| 13.03.2024 ^ 4. Stochastic Gradient Descent (SGD)                             | AS | {{ :courses:bev033dle:sgd.pdf | slides }}| |
| 20.03.2024 ^ 5. Convolutional Neural Networks                                 | AS | {{ :courses:bev033dle:cnn2.pdf | slides }}| [[https://geometricdeeplearning.com/|Geometric Deep Learning]]|
| 27.03.2024 ^ 6. Weight Initialization, Batch Normalization, Resnets, Transfer Learning | BF | {{ :courses:bev033dle:dl-init-bn-trsfl.pdf | slides }}| |
| 03.04.2024 ^ 7. Regularization Methods for NNs                                | AS | {{ :courses:bev033dle:regularizers4.pdf | slides}} | Goodfellow Chapter 7|
| 10.04.2024 ^ 8. Adaptive SGD Methods                                          | AS | {{ :courses:bev033dle:adaptive4.pdf | slides}}| |
| 17.04.2024 ^ 9. Adversarial Patterns. Robust Learning Approaches              | BF | {{ :courses:bev033dle:adversarial.pdf | slides}}| |
| 24.04.2024 ^ 10. Learning Representations I: Metric Learning, Word Vectors    | AS | {{ :courses:bev033dle:rl-1-2024.pdf | 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 | {{ :courses:bev033dle:svi-2024.pdf | slides}}| |
| 15.05.2024 ^ 12. Learning Representations III: Variational Autoencoders       | BF | {{ :courses:bev033dle:vae.pdf | slides}} | |
| 22.05.2024 ^ 13. Recurrent Neural Networks, Transformer networks        | BF | {{ :courses:bev033dle:recurrent.pdf | slides}}| |

/*
^ Date ^ Lecture ^ Teacher ^ Materials ^ Notes / Reading ^
| 21.02.2024 ^ 1. Introduction to Neural Networks                               | BF | {{:courses:bev033dle:dl-neurons-nets.pdf| slides }} | |
| 28.02.2024 ^ 2. The Power of Neural Networks                                  | BF | {{:courses:bev033dle:dl-losses-gen-bounds.pdf| slides }} | |
| 06.03.2024 ^ 3. Backpropagation                                               | AS | {{ :courses:bev033dle:backprop.pdf | slides}} | |
| 13.03.2024 ^ 4. Stochastic Gradient Descent (SGD)                             | AS | {{ :courses:bev033dle:sgd.pdf | slides}} | |
| 20.03.2024 ^ 5. Convolutional Neural Networks                                 | AS | {{ :courses:bev033dle:cnn1.pdf | slides}} | |
| 27.03.2024 ^ 6. Weight Initialization, Batch Normalization, Resnets, Transfer Learning | BF | {{ :courses:bev033dle:dl-init-bn-augm.pdf | slides}}  | |
| 03.04.2024 ^ 7. Regularization Methods for NNs                                | AS | {{ :courses:bev033dle:regularizers3.pdf | slides}} | Goodfellow: 7.1-7.12|
| 10.04.2024 ^ 8. Adaptive SGD Methods                                          | AS | {{ :courses:bev033dle:adaptive3.pdf | slides }} | |
| 17.04.2024 ^ 9. Adversarial Patterns. Robust Learning Approaches              | BF | {{ :courses:bev033dle:adversarial.pdf | slides}} | |
| 24.04.2024 ^ 10. Learning Representations I: Metric Learning, Word Vectors    | AS |  {{ :courses:bev033dle:rl-1-2023.pdf | 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 | {{ :courses:bev033dle:svi-2023.pdf | slides}} | |
| 15.05.2024 ^ 12. Learning Representations III: Variational Autoencoders       | BF | {{ :courses:bev033dle:vae.pdf | slides}} | |
| 22.05.2024 ^ 13. Recurrent Neural Networks, Transformer networks        | BF | {{ :courses:bev033dle:recurrent.pdf | slides}} | |
*/