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Economics/Finances Unsupervised Learning: Foundations of Neural Computation (Computational Neuroscience)

Posted on 2010-03-16




Name:Economics/Finances Unsupervised Learning: Foundations of Neural Computation (Computational Neuroscience)
ASIN/ISBN:026258168X
Language:English
File size:3.3 Mb
Publisher: The MIT Press
Publish Date: 2003
ISBN: 026258168X
File Type: PDF
Pages: 350 pages
File Size: 3.3 MB
   Economics/Finances Unsupervised Learning: Foundations of Neural Computation (Computational Neuroscience)

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Geoffrey Hinton, Terrence J. Sejnowski, "Unsupervised Learning: Foundations of Neural Computation (Computational Neuroscience)"

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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