Kursplan

Föreläsningar

1. Introduktion
   2003-01-14

2. Enlagersperceptronen
   2003-01-15

3. Flerlagersperceptronen
   2003-01-16

4. Generalisering
   2003-01-21

5. Radialbasfunktioner
   2003-01-22

6. Boltzmannmaskinen
   2003-01-28

7. Hopfieldnät
   2003-01-29

8. Belief propagation
   2003-01-30

9. Reinforcement learning
   2003-02-04

10. Principal component analysis
    2003-02-07

11. Self organizing maps, vektorkvantisering
    2003-02-11

12. Adaptive Resonance Theory
    2003-02-14

13. Genetiska algoritmer
    2003-02-21