Table of Contents:
  • Preface
  • One. Introduction
  • Two. The Hopfield model
  • Three. Extensions of the Hopfield model
  • Four. Optimization problems
  • Five. Simple perceptrons
  • Six. Multi-layer networks
  • Seven. Recurrent networks
  • Eight. Unsupervised hebbian learning
  • Nine. Unsupervised competitive learning
  • Ten. Formal statistical mechanics of neural networks
  • Appendix. Statistical mechanics.