Seminarid

  1. (18.09) - NN - an overview; Real and artificial neurons (Sergei Sitov, Aleksander Vaskin)
  2. (02.10) - TLU - linear separability and vectors; Training TLU - the perceptron rule (Anton Karputkin, Ahti Peder)
  3. (09.10) - The delta rule (Viktor Massalõgin)
  4. (16.10) - Multilayer nets and backpropagation (Ilja Livenson, Martin Pettai)
  5. (23.10) - Associative nemories: the Hopfield net (Jaanus Uri, Mai-Liis Karring)
  6. (30.10) - Selforganization (Maarika Traat, Jüri Reimand)
  7. (06.11) - Adaptive resonance theory: ART (Marti Taremaa, Marko Jõemets)
  8. (13.11) - Nodes, nets and algorithms: further alternatives (Siim Karus, Mikk Lauringson)
  9. (20.11) - Taxonomies, contexts and hierarchies (Maksim Boriskin, Toomas Laasik)
  10. (27.11) - Using Hamming net in a hand-written text recognition (Oleg Petshonkin)
  11. (04.12) - Rekurrentsed mitmekihilised neurovõrgud ja pikk lühiajaline mälu (Mark Fishel)
  12. (11.12) - Praktiliste tööde presentatsioonid
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