Two types of tutorial classes will be proposed for the course:
The solutions of the practical labs have to be submitted using the upload system
Week | Date | Topic | Teacher | Materials | Deadline/Notes |
---|---|---|---|---|---|
1 | 22. 9. | Seminar | BF | no assignments | |
2 | 29. 9. | Seminar: lecture 1 | VF/DB | ||
3 | 6. 10. | Seminar: lecture 2 | VF/DB | ||
4 | 13. 10. | Seminar: lecture 2,3 | VF/DB | ||
5 | 20. 10. | Seminar: lecture 3,4 | VF/DB | ||
6 | 27. 10. | Lab: SO Perceptron | VF/DB | 25. 11. (extended by one day) | |
7 | 3. 11. | Seminar: Neural Networks | JD/DB | Matrix Differentiation | |
8 | 10. 11. | Lab: Neural Networks | JD | Code | 8. 12. |
9 | 17. 11. | — National Holiday — | |||
10 | 24. 11. | Seminar: lecture 8 | BF/DB | ||
11 | 1. 12. | Lab: EM algorithm | BF/DB | task data | 05. 01. |
12 | 8. 12. | Seminar: lecture 9 | BF/DB | ||
13 | 15. 12. | Seminar: lecture 10,11 | BF/DB | ||
14 | 12. 1. | Seminar: Ensembling | JD/DB |