Unsupervised learning foundations neural (17 Ergebnisse)

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Paperback or Softback. Zustand: New. Unsupervised Learning: Foundations of Neural Computation. Book.

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Paperback. Zustand: Brand New. 350 pages. 8.75x5.75x0.75 inches. In Stock.

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Zustand: New. 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. Editor(s): Hinton, Geoffrey E.; Sejnowski, Terrence J. Series: Computational Neuroscience. Num Pages: 414 pages, Illustrations. BIC Classification: PSAN; UGK; UYA; UYQN. Category: (P) Professional & Vocational. Dimension: 229 x 152 x 22. Weight in Grams: 544. . 1999. Illustrated. paperback. . . . . Books ship from the US and Ireland. …

Zustand: New. 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. Editor(s): Hinton, Geoffrey E.; Sejnowski, Terrence J. Series: Computational Neuroscience. Num Pages: 414 pages, Illustrations. BIC Classification: PSAN; UGK; UYA; UYQN. Category: (P) Professional & Vocational. Dimension: 229 x 152 x 22. Weight in Grams: 544. . 1999. Illustrated. paperback. . . . . …

Zustand: gut. Unsupervised Learning: Foundations of Neural Computation (Computational Neuroscience Series) In englischer Sprache. pages.

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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.…

Taschenbuch. Zustand: Neu. Unsupervised Learning | Foundations of Neural Computation | Geoffrey Hinton (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 1999 | MIT Press | EAN 9780262581684 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. …