Unsupervised Learning : Foundations of Neural Computation

Geoffrey Hinton

ISBN 10: 026258168X / ISBN 13: 9780262581684

Verlag: MIT Press, 1999

Beschreibung

nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Bestandsnummer des Verkäufers 9780262581684

Bibliografische Details

Titel: Unsupervised Learning : Foundations of ...

Verlag: MIT Press

Erscheinungsdatum: 1999

Einband: Taschenbuch

Zustand: Neu

Über diesen Titel

Reseña del editor:

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.