Labs and Seminars

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

Lab/Seminar plan

Week Date Topic Teacher Materials Deadline/Notes
1 28. 9. — National Holiday — no assignments
2 5. 10. Seminar BF no assignments
3 12. 10. Seminar: lecture 1 VF/JP
4 19. 10. Seminar: lecture 2 VF/JP
5 26. 10. Seminar: lecture 3 VF/JP
6 2. 11. Seminar: lecture 3,4 VF/JP
7 9. 11. Lab: SO Perceptron VF/JP 7. 12.
8 16. 11. Seminar: Neural Networks JD/JP
9 23. 11. Lab: Neural Networks JD/JP 21. 12.
10 30. 11. Seminar: lecture 8 BF/JP
11 7. 12. Lab: EM algorithm BF/JP task data 09. 01.
12 14. 12. Seminar: lecture 9 BF/JP
13 21. 12. Seminar: lecture 10,11 BF/JP
14 11. 1. Seminar: Ensembling JD/JP