Neural Networks for Pattern Recognition

Geoffrey Hinton

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Language: English

Published by Oxford University Press, 1995

0198538642 / 9780198538646

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This book provides the first comprehensive treatment of feed-forward neural networks from the perspective of statistical pattern recognition. After introducing the basic concepts of pattern recognition, the book describes techniques for modelling probability density functions, and discusses the properties and relative merits of the multi-layer perceptron and radial basis function network models. It also motivates the use of various forms of error functions, and reviews the principal algorithms for error function minimization. As well as providing a detailed discussion of learning and generalization in neural networks, the book also covers the important topics of data processing, feature extraction, and prior knowledge. The book concludes with an extensive treatment of Bayesian techniques and their applications to neural networks.

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Title
Neural Networks for Pattern Recognition
Author
Geoffrey Hinton
Publisher
Oxford University Press
Publication year
1995
Condition
Good
Binding
Paperback
Language
English
ISBN 10
0198538642
ISBN 13
9780198538646

World of Books (was SecondSale)

Montgomery, IL, U.S.A.

5-star seller

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