Unsupervised learning map formation foundations of neural computations

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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.

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Taal: en

Bindwijze: Paperback

Oorspronkelijke releasedatum: 24 mei 1999

Aantal pagina's: 412

Illustraties: Nee

Hoofdauteur: Geoffrey Hinton

Tweede Auteur: Geoffrey Hinton

Hoofdredacteur: Geoffrey Hinton

Tweede Redacteur: Terrence J. Sejnowski

Co Redacteur: Tomaso A. Poggio

Hoofduitgeverij: Mit Press

Editie: illustrated edition

Extra groot lettertype: Nee

Product breedte: 152 mm

Product hoogte: 23 mm

Product lengte: 229 mm

Studieboek: Nee

Verpakking breedte: 148 mm

Verpakking hoogte: 24 mm

Verpakking lengte: 226 mm

Verpakkingsgewicht: 668 g

EAN: 9780262581684

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