Unsupervised Learning by Geoffrey Hinton - ISBN: 9780262581684
Paperback
This volume on neural network learning algorithms, focuses on neural network learning algorithms that do not require an explicit teacher. These algorithms provide insights into the development of the cerebral cortex and implicit learning in humans.

Unsupervised Learning

Foundations of Neural Computation

$87.63

  • Paperback

    414 pages

  • Release Date

    24 May 1999

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Summary

Since its founding in 1989 by Terrence Sejnowski, Neural Computation has become the leading journal in the field. Foundations of Neural Computation collects, by topic, the most significant papers that have appeared in the journal over the past nine years. This volume of Foundations of Neural Computation, 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 intern…

Book Details

ISBN-13:9780262581684
ISBN-10:026258168X
Author:Geoffrey Hinton, Terrence J. Sejnowski
Publisher:MIT Press Ltd
Imprint:MIT Press
Format:Paperback
Number of Pages:414
Release Date:24 May 1999
Weight:544g
Dimensions:229mm x 152mm x 23mm
Series:Unsupervised Learning
About The Author

Geoffrey Hinton

Geoffrey Hinton is Professor of Computer Science at the University of Toronto.Terrence J. Sejnowski holds the Francis Crick Chair at the Salk Institute for Biological Studies and is a Distinguished Professor at the University of California, San Diego. He was a member of the advisory committee for the Obama administration’s BRAIN initiative and is President of the Neural Information Processing (NIPS) Foundation. He is the author of The Deep Learning Revolution (MIT Press) and other books.

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