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Theory of Neural Information Processing Systems

A. C. C. Coolen, R. Kühn, P. Sollich




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 | #4337434 in Books |  2005-09-29 | Original language:English | PDF # 1 |  6.60 x1.30 x9.50l,2.22 | File type: PDF | 592 pages

||0 of 0 people found the following review helpful.| Contains good introduction to information geometry|By King Yin Yan|Kind of unexpectedly, Part III of this book concerns "information theory applied to neural networks" and contains a very friendly introduction to "information geometry", a theory developed by Shun'ichi Amari among others, that is very relevant to machine learning in general.

The book provides a refres| |The book provides an excellent class-tested material for graduate courses in artificial neural networks. It is completely self-contained and includes also thorough introduction to the discussed discipline-specific areas of mathematics...Therefore, this book re

This interdisciplinary graduate text gives a full, explicit, coherent and up-to-date account of the modern theory of neural information processing systems and is aimed at student with an undergraduate degree in any quantitative discipline (e.g. computer science, physics, engineering, biology, or mathematics). The book covers all the major theoretical developments from the 1940s tot he present day, using a uniform and rigorous style of presentation and of mathematical no...

You easily download any file type for your gadget.Theory of Neural Information Processing Systems   |  A. C. C. Coolen, R. Kühn, P. Sollich.Not only was the story interesting, engaging and relatable, it also teaches lessons.

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