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Learning Deep Architectures for AI
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Learning Deep Architectures for AI

4.11  ·  Rating Details ·  9 Ratings  ·  4 Reviews
Can machine learning deliver AI? Theoretical results, inspiration from the brain and cognition, as well as machine learning experiments suggest that in order to learn the kind of complicated functions that can represent high-level abstractions (e.g. in vision, language, and other AI-level tasks), one would need deep architectures. Deep architectures are composed of ...more
Paperback, 144 pages
Published October 28th 2009 by Now Publishers
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Paul Graphov
Covers lots of advanced topics in machine learning and gives a lot of links for further reading. Not too easy reading. Good grasp of probability theory is needed.
CD Athuraliya
Feb 24, 2014 CD Athuraliya rated it it was amazing
Basic concepts of deep learning are well explained in simple terms with more words than math; which I found useful and interesting.
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Feb 23, 2015 Cedric rated it really liked it
A bit outdated already, but still an invaluable reference work.
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