Unsupervised Learning: Foundations of Neural Computation (Computational Neuroscience)

Hinton, Geoffrey [Editor]; Sejnowski, Terrence J. [Editor];

ISBN 10: 026258168X / ISBN 13: 9780262581684

Published by MIT Press, 1999

About this Item

In shrink wrap. Looks like an interesting title! Seller Inventory # Q-026258168X

Bibliographic Details

Title: Unsupervised Learning: Foundations of Neural...

Publisher: MIT Press

Publication Date: 1999

Binding: paperback

Condition: New

About this title

Synopsis:

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.

Synopsis:

This volume on neural network 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 should also be of interest to engineers working in areas such as computer vision and speech recognition who seek efficient representations of raw input data.