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Unsupervised Learning Foundations of Neural Computation (Computational Neuroscience) Paperback - 1999
by Geoffrey Hinton (Editor); Terrence Sejnowski (Editor)
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Details
- Title Unsupervised Learning Foundations of Neural Computation (Computational Neuroscience)
- Author Geoffrey Hinton (Editor); Terrence Sejnowski (Editor)
- Binding Paperback
- Edition N/A
- Condition New
- Pages 418
- Volumes 1
- Language ENG
- Publisher MIT Press (MA), Cambridge, Mass.
- Publication date 1999-05-24
- Features Index, Table of Contents
- Bookseller's Inventory # 650292-n
- ISBN 9780262581684 / 026258168X
- Weight 1.32 lbs (0.60 kg)
- Dimensions 9.15 x 6.07 x 0.85 in (23.24 x 15.42 x 2.16 cm)
- Age range 18 to UP years
- Grade levels 13 - UP
- Category Medical / Nursing
- Library of Congress subjects Neural networks (Computer science), Neural computers
- Library of Congress Catalogue Number 98-14784
- Dewey Decimal Code 612.82
- Quantity available 5
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From the publisher
First line
What use can the brain make of the massive flow of sensory information that occurs without any associated rewards or punishments?
From the rear cover
This volume, on unsupervised learning algorithms, focuses on neural network learning algorithms that do not require an explicit teacher. The goal of unsupervised learning is to extract an efficient internal representation of the statistical structure implicit in the inputs. These algorithms provide insights into the development of the cerebral cortex and implicit learning in humans. They are also of interest to engineers working in areas such as computer vision and speech recognition who seek efficient representations of raw input data.
