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Happiness cannot be travelled to, owned, earned, worn or consumed. Happiness is the spiritual experience of living every minute with love, grace and gratitude.
ISBN10: 1601982941, ISBN13: 9781601982940, [publisher: Now Publishers] Softcover Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority! [Dallas, TX, U.S.A.] [Publication Year: 2009]
Now Publishers 2009 paperback Good Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
Hanover now publishers Inc 2009 Paperback New. 144 p. Foundations and Trends (R) in Machine Learning . Intended for professional and scholarly audience.
ISBN10: 1601982941, ISBN13: 9781601982940, [publisher: Now Publishers Inc] Softcover Item in very good condition! Textbooks may not include supplemental items i.e. CDs, access codes etc. [Montgomery, IL, U.S.A.] [Publication Year: 2009]
ISBN10: 1601982941, ISBN13: 9781601982940, [publisher: Now Publishers] Softcover Very Good Copy. Customer Service Guaranteed [Denver, CO, U.S.A.] [Publication Year: 2009]
ISBN10: 1601982941, ISBN13: 9781601982940, [publisher: Now Publishers] Softcover New. Fast Shipping and good customer service [Fayetteville, TX, U.S.A.] [Publication Year: 2009]
ISBN10: 1601982941, ISBN13: 9781601982940, [publisher: Now Publishers] Softcover Book is in Used-VeryGood condition. Pages and cover are clean and intact. Used items may not include supplementary materials such as CDs or access codes. May show signs of minor shelf wear and contain very limited notes and highlighting. [Hawthorne, CA, U.S.A.] [Publication Year: 2009]
ISBN10: 1601982941, ISBN13: 9781601982940, [publisher: Now Publishers] Softcover Buy with confidence! Book is in good condition with minor wear to the pages, binding, and minor marks within [Amherst, NY, U.S.A.] [Publication Year: 2009]
Now Publishers 11/30/2009 12: 00: 00 AM Softcover New Book. Shipped from UK in 4 to 14 days. Established seller since 2000. Please note we cannot offer an expedited shipping service from the UK.
Now Publishers 11/30/2009 12: 00: 00 AM Softcover PLEASE NOTE, WE DO NOT SHIP TO DENMARK. New Book. Shipped from UK in 4 to 14 days. Established seller since 2000. Please note we cannot offer an expedited shipping service from the UK.
Paperback / softback. New. Discusses the motivations for and principles of learning algorithms for deep architectures. By analysing and comparing recent results with different learning algorithms for deep architectures, explanations for their success are proposed and discussed, highlighting challenges and suggesting avenues for future explorations in this area. ISBN 1601982941 9781601982940 [GB]
Now Publishers 11/30/2009 12: 00: 00 AM Softcover PLEASE NOTE, WE DO NOT SHIP TO DENMARK. New Book. Shipped from UK in 4 to 14 days. Established seller since 2000. Please note we cannot offer an expedited shipping service from the UK.
ISBN10: 1601982941, ISBN13: 9781601982940, [publisher: Now Publishers Inc] Softcover nach der Bestellung gedruckt Neuware - Printed after ordering - 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 multiple levels of non-linear operations, such as in neural nets with many hidden layers, graphical models with many levels of latent variables, or in complicated propositional formulae re-using many sub-formulae. Each level of the architecture represents features at a different level of abstraction, defined as a composition of lower-level features. Searching the parameter space of deep architectures is a difficult task, but new algorithms have been discovered and a new sub-area has emerged in the machine learning community since 2006, following these discoveries. Learning algorithms such as those for Deep Belief Networks and other related unsupervised learning algorithms have recently been proposed to train deep architectures, yielding exciting results and beating the state-of-the-art in certain areas. Learning Deep Architectures for AI discusses the motivations for and principles of learning algorithms for deep architectures. By analyzing and comparing recent ...
ISBN10: 1601982941, ISBN13: 9781601982940, [publisher: Now Publishers Inc] Softcover Like New [Redhill, SURRE, United Kingdom] [Publication Year: 2009]
ISBN10: 1601982941, ISBN13: 9781601982940, [publisher: Now Publishers] Softcover New [Long Beach, CA, U.S.A.] [Publication Year: 2009]
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