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Introduction To The Theory Of Neural Computation (Santa Fe Institute Series)

John A. Hertz, Anders S. Krogh, Richard G. Palmer




[PDF.yl04] Introduction To The Theory Of Neural Computation (Santa Fe Institute Series)

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 | #377214 in Books |  1991-06-24 | Original language:English | PDF # 1 |  9.00 x.80 x6.00l,1.11 | File type: PDF | 350 pages

||0 of 0 people found the following review helpful.| To really enjoy this book|By Waseem|To really enjoy this book, one has to co-read a book in Statistical (Quantum) Mechanics, which in itself could be very involved. However, if you follow "Statistical Mechanics: A Survival Guide" by A. M. Glazer it will be an enjoyable read. The idea is to see how theoretical physics has informed the information processing in neural networks.||.com |This book comprehensively discusses the neural network models from a statistical mechanics perspective. It starts with one of the most influential developments in the theory of neural networks: Hopfield's analysis of networks with symmetric connections

Comprehensive introduction to the neural network models currently under intensive study for computational applications. It also provides coverage of neural network applications in a variety of problems of both theoretical and practical interest.

You easily download any file type for your gadget.Introduction To The Theory Of Neural Computation (Santa Fe Institute Series)   |  John A. Hertz, Anders S. Krogh, Richard G. Palmer. Just read it with an open mind because none of us really know.

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