An introduction to neural networks PDF
148 Pages·1997·3.649 MB·English
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Description:
Covers: artificial neurons as models of their real counterparts; the geometry of network action in pattern space; gradient descent methods, including back-propagation; associative memory and Hopfield nets; and self-organization and feature maps.
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Most books are stored in the elastic cloud where traffic is expensive. For this reason, we have a limit on daily download.
