Books

Books : reviews

John Hertz, Anders Krogh, Richard G. Palmer.
Introduction to the Theory of Neural Computation.
Addison Wesley. 1991

(read but not reviewed)


Contents:

  1. Introduction
  2. The Hopfield model
    • associative memory • statistical mechanics • stochastic networks
  3. Extensions of the Hopfield model
  4. Optimization problems
  5. Simple perceptrons
    • feed-forward networks • proof of convergence • linear, non-linear, stochastic units
  6. Multi-layer networks
    • back-propagation
  7. Recurrent networks
    • Boltzmann machines
  8. Unsupervised Hebbian learning
    • principal component analysis • self-organizing feature extraction
  9. Unsupervised competitive learning
    • adaptive resonance theory
  10. Formal statistical mecanics of neural networks