Neural network design and the complexity of learning /

"Using the tools of complexity theory, Stephen Judd develops a formal description of associative learning in connectionist networks. He rigorously exposes the computational difficulties in training neural networks and explores how certain design principles will or will not make the problems eas...

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Bibliographic Details
Call Number:Libro Electrónico
Main Author: Judd, J. Stephen
Format: Electronic eBook
Language:Inglés
Published: Cambridge, Mass. : MIT Press, ©1990.
Series:Neural network modeling and connectionism.
Subjects:
Neural computers.
Computational complexity.
Artificial intelligence.
Artificial Intelligence
Ordinateurs neuronaux.
Complexité de calcul (Informatique)
Intelligence artificielle.
artificial intelligence.
COMPUTERS > Enterprise Applications > Business Intelligence Tools.
COMPUTERS > Intelligence (AI) & Semantics.
Neurale netwerken.
Machine-learning.
Réseaux neuronaux.
COGNITIVE SCIENCES/General
NEUROSCIENCE/General
Online Access:Texto completo
Table of Contents:
  • 1. Neural networks: hopes, problems, and goals
  • 2. The loading problem
  • 3. Other studies of learning
  • 4. The intractability of loading
  • 5. Subcases
  • 6. Shallow architectures
  • 7. Memorization and generalization
  • 8. Conclusion.

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