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|a Engel, A.
|q (Andreas),
|d 1957-
|
245 |
1 |
0 |
|a Statistical mechanics of learning /
|c A. Engel, C. van den Broeck.
|
260 |
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|a Cambridge, UK ;
|a New York, NY :
|b Cambridge University Press,
|c 2001.
|
300 |
|
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|a 1 online resource (xi, 329 pages) :
|b illustrations
|
336 |
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|a text
|b txt
|2 rdacontent
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|a computer
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|a online resource
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|a Includes bibliographical references (pages 313-325) and index.
|
505 |
0 |
0 |
|t Getting started --
|t Perceptron learning -- basics --
|t Choice of learning rules --
|t Augmented statistical mechanics formulation --
|t Noisy teachers --
|t Storage problem --
|t Discontinuous learning --
|t Unsupervised learning --
|t On-line learning --
|t Making contact with statistics --
|t Bird's eye view: multifractals --
|t Multilayer networks --
|t On-line learning in multilayer networks --
|t What else?
|
588 |
0 |
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|a Print version record.
|
520 |
|
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|a Artificial neural networks provide a simple framework for describing learning from examples. This coherent account of important concepts and techniques of statistical mechanics and their application to learning theory comes with background material in mathematics and physics, plus many examples and exercises, making it ideal for courses, self-teaching, or reference.
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|a Neural networks (Computer science)
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6 |
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650 |
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700 |
1 |
|
|a Broeck, C. van den
|q (Christian),
|d 1954-
|
776 |
0 |
8 |
|i Print version:
|a Engel, A. (Andreas), 1957-
|t Statistical mechanics of learning.
|d Cambridge, UK ; New York, NY : Cambridge University Press, 2001
|z 0521773075
|z 0521774799
|w (DLC) 00058516
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