[PDF.25ns] Neural Network Models: Theory and Projects, 2nd Edition

Neural Network Models: Theory and Projects, 2nd Edition

[PDF.wx11] Neural Network Models: Theory and Projects, 2nd Edition

Neural Network Models: Theory  Philippe de Wilde epub
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 | #2190378 in Books |  Springer |  2008-10-10 | Original language:English | PDF # 1 |  9.25 x.43 x6.10l,.66 | File type: PDF | 174 pages

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||5 of 5 people found the following review helpful.| A clear and concise introduction to neural network dynamics|By A Customer|This book is an excellent introduction to neural networks for the reader with a good mathematics background. The first few chapters describe popular and useful algorithms for implementing neural networks (Hopfield, backpropagation). Much of the book is devoted to the theory behind these networks (capacity|From the Back Cover|Providing an in-depth treatment of neural network models, this volume explains and proves the main results in a clear and accessible way. Topics covered include key concepts in neural networks, backpropagation, neurons in models of the brain,

Providing an in-depth treatment of neural network models, this volume explains and proves the main results in a clear and accessible way. It presents the essential principles of nonlinear dynamics as derived from neurobiology, and investigates the stability, convergence behaviour and capacity of networks.

You can specify the type of files you want, for your gadget.Neural Network Models: Theory and Projects, 2nd Edition   |  Philippe de Wilde.Not only was the story interesting, engaging and relatable, it also teaches lessons.

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