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An Introduction to Neural Networks
Kevin Gurney
[PDF.bq10] An Introduction to Neural Networks
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| #1286329 in Books | 1997-08-07 | Original language:English | PDF # 1 | 9.17 x.58 x6.13l,.80 | File type: PDF | 234 pages||16 of 16 people found the following review helpful.| Concise but explanatory|By Shadman Zafar|This is one of the best written books on NN. This book has that rare quality of being succinct but clearly written so that it can be understood by reasonably mathematical minded individual.
It covers most of the basic topics (back propagation, feed forward, Hopfield nets etc) and gives idiosyncrasies of the field. It also gi|About the Author|University of Sheffield
Though mathematical ideas underpin the study of neural networks, the author presents the fundamentals without the full mathematical apparatus. All aspects of the field are tackled, including 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. The traditionally difficult topic of adaptive ...
You easily download any file type for your device.An Introduction to Neural Networks | Kevin Gurney. A good, fresh read, highly recommended.
