Pristupačnost| Week | Date | Place and Time | Lecture Topic |
|---|---|---|---|
| 1 | 06.10.2022. | D-2, 13:00-15:00 | Introductory course remarks. Introduction to neural networks. |
| 2 | 13.10.2022. | D-260, 13:00-15:00 | Learning process. Associative memory |
| 3 | 20.10.2022. | D-260, 13:00-15:00 | Single layer perceptron. LMS algorithm. |
| 4 | 27.10.2022. | D-260, 13:00-15:00 | Multilayer perceptron. |
| 5 | 03.11.2022. | D-260, 13:00-15:00 | Radial networks. |
| 6 | 10.11.2022. | D-260, 13:00-15:00 |
Support vector machine. |
| 7 | 17.11.2022. | D-2, 13:00-15:00 | Recitation: Problem-solving session. |
| 8a | - | - | Midterm exams |
| 8b | - | - | Midterm exams |
| 9 | 08.12.2022. | D-260, 13:00-15:00 | Recursive networks. Self-organizing networks. |
| 10 | 15.12.2022. | D-260, 13:00-15:00 | Deep neural networks. |
| 11 | 22.12.2022. | D-2, 13:00-15:00 |
Recitation: Problem-solving session. |
| - | - | - | Christmas and New Year holidays |
| 12 | 05.01.2023. | D-260, 13:00-15:00 | Deep neural networks. |
| 13 | 12.01.2023. | B-3, 12:00-13:00 D-2, 13:00-15:00 |
Final presentations of team projects. |
| 14 | 19.01.2023. | B-3, 12:00-13:00 D-2, 13:00-15:00 |
Final presentations of team projects. |
| 15a | - | - | Final exams |
| 15b | - | - | Final exams |
