[PDF.73ji] Neural Network Design and the Complexity of Learning (Neural Network Modeling and Connectionism)

Neural Network Design and the Complexity of Learning (Neural Network Modeling and Connectionism)

[PDF.ub89] Neural Network Design and the Complexity of Learning (Neural Network Modeling and Connectionism)

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 |  1990-04-06 | Original language:English | PDF # 1 |  9.10 x.70 x6.10l,.65 | File type: PDF | 172 pages

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||From the Back Cover|Neurocomputing is a one-volume encyclopedic source of information on neural networks, an essential guide to the background of concepts taken from disciplines as varied as neuroscience, psychology, cognitive science, engineering, and physics.

Using the tools of complexity theory, Stephen Judd develops a formal description of associative learning in connectionist networks. He rigorously exposes the computational difficulties in training neural networks and explores how certain design principles will or will not make the problems easier.Judd looks beyond the scope of any one particular learning rule, at a level above the details of neurons. There he finds new issues that arise when great numbers of neurons a...

You easily download any file type for your gadget.Neural Network Design and the Complexity of Learning (Neural Network Modeling and Connectionism)   |  J. Stephen Judd.Not only was the story interesting, engaging and relatable, it also teaches lessons.

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