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Information-Theoretic Approach to Neural Computing

Name: Information-Theoretic Approach to Neural Computing
Brand: Springer-Verlag New York Inc.
SKU: 06795673
Price: 37483 HUF
Availability: InStock
Author: Gustavo Deco
ISBN: 9781461284697

Gustavo Deco

Dragan Obradovic

Language

English

Book Paperback

Libristo code: 06795673

Publishers Springer-Verlag New York Inc., September 2011

A detailed formulation of neural networks from the information-theoretic viewpoint. The authors show... Full description

Libristo code: 06795673

249 b

37 483 Ft

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A detailed formulation of neural networks from the information-theoretic viewpoint. The authors show how this perspective provides new 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. Readers are assumed to have a basic understanding of neural networks, but all the relevant concepts from information theory are carefully introduced and explained. Consequently, readers from varied scientific disciplines, notably cognitive scientists, engineers, physicists, statisticians, and computer scientists, will find this an extremely valuable introduction to this topic.