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English
MIT Press
24 May 1999
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 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.
Edited by:   , ,
Series edited by:   , ,
Imprint:   MIT Press
Country of Publication:   United States
Dimensions:   Height: 229mm,  Width: 152mm,  Spine: 23mm
Weight:   544g
ISBN:   9780262581684
ISBN 10:   026258168X
Series:   Computational Neuroscience Series
Pages:   414
Publication Date:  
Recommended Age:   From 18 years
Audience:   Professional and scholarly ,  Undergraduate
Format:   Paperback
Publisher's Status:   Active

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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