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 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