An Information-theoretic Approach To Neural Computing

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An Information-theoretic Approach To Neural Computing

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An Information-theoretic Approach To Neural Computing

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An Information-theoretic Approach To Neural Computing

A Detailed Formulation Of Neural Networks From The Information-theoretic Viewpoint. The Authors Show How This Perspective Provides Insights Into The Design Theory Of Neural Networks. In Particular They Demonstrate How These Methods May Be Applied To The Topics Of Supervised And Unsupervised Learning, Including Feature Extraction, Linear And Non-linear Independent Component Analysis, And Boltzmann Machines.
  • Brand: Springer Nature B.V
  • Category: Computing & Internet
  • Format: Hardcover
  • Language: English
  • Publication Date: 1997-09-05
  • Publisher / Label: Springer Nature B.V
  • Author: Gustavo Deco
  • Number of Pages: 284
  • Fruugo ID: 550926570-1115604970
  • ISBN: 9780387946665
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