Unsupervised Learning: Foundations of Neural Computation Paperback - 1999
by Geoffrey Hinton (Editor); Terrence J. Sejnowski (Editor)
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.
Details
- Title Unsupervised Learning: Foundations of Neural Computation
- Author Geoffrey Hinton (Editor); Terrence J. Sejnowski (Editor)
- Binding Paperback
- Edition N/A
- Pages 418
- Volumes 1
- Language ENG
- Publisher MIT Press (MA), Cambridge, Mass.
- Date 1999-05-14
- Illustrated Yes
- 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)
- Ages 18 to UP years
- Grade levels 13 - UP
- Library of Congress subjects Neural networks (Computer science), Neural computers
- Library of Congress Catalog Number 98-14784
- Dewey Decimal Code 612.82
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