[PDF.32pz] Backpropagation: Theory, Architectures, and Applications (Developments in Connectionist Theory Series)

Backpropagation: Theory, Architectures, and Applications (Developments in Connectionist Theory Series)

[PDF.it18] Backpropagation: Theory, Architectures, and Applications (Developments in Connectionist Theory Series)

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 | #6727200 in Books |  1995-02-01 | Original language:English | PDF # 1 |  9.50 x6.50 x1.75l,2.42 | File type: PDF | 576 pages

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Composed of three sections, this book presents the most popular training algorithm for neural networks: backpropagation. The first section presents the theory and principles behind backpropagation as seen from different perspectives such as statistics, machine learning, and dynamical systems. The second presents a number of network architectures that may be designed to match the general concepts of Parallel Distributed Processing with backpropagation learning. Finally, t...

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