[PDF.23hl] Introduction To The Theory Of Neural Computation (Santa Fe Institute Series)

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

[PDF.jf87] Introduction To The Theory Of Neural Computation (Santa Fe Institute Series)

Introduction To The Theory  John A. Hertz, Anders S. Krogh, Richard G. Palmer epub
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 | #1121656 in Books |  1991-06-24 | Ingredients: Example Ingredients | Original language:English | PDF # 1 |  9.00 x.80 x6.00l,1.11 | File type: PDF | 350 pages

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||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