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Anotace knihy

Since its founding in 1989 by Terrence Sejnowski, Neural Computation has become the leading journal in the field. Foundations of Neural Computationcollects, 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.

Parametry knihy

Zařazení knihy Knihy v angličtině Mathematics & science Biology, life sciences Life sciences: general issues

• Plný název: Unsupervised Learning
• Podnázev: Foundations of Neural Computation
• Autor: Geoffrey Hinton, Terrence J. Sejnowski, Tomaso A. Poggio
• Jazyk: Angličtina
• Vazba: Brožovaná
• Počet stran: 418
• EAN: 9780262581684
• ISBN: 026258168X
• ID: 04562335
• Nakladatelství: MIT Press Ltd
• Hmotnost: 544 g
• Rozměry: 229 × 152 × 23 mm
• Datum vydání: 24. May 1999

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