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Unsupervised Learning & Map Formation – Foundations of Neural Computations: Computational Neuroscience Series

Autor Geoffrey Hinton, Tomaso A. Poggio
en Limba Engleză Paperback – 7 iul 1999
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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Specificații

ISBN-13: 9780262581684
ISBN-10: 026258168X
Pagini: 418
Dimensiuni: 164 x 232 x 22 mm
Greutate: 0.6 kg
Editura: Mit Press
Seria Computational Neuroscience Series


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Descriere

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.