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