EUR 42,81
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Da: BookOutlet, Thorold, ON, Canada
EUR 43,13
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Aggiungi al carrelloHardcover. Condizione: New. Hardcover. Publisher overstock, may contain remainder mark on edge.
EUR 65,14
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Aggiungi al carrelloHardcover. Condizione: New. new.
Da: Textbooks_Source, Columbia, MO, U.S.A.
EUR 70,13
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Aggiungi al carrellohardcover. Condizione: New. Ships same day or next business day! UPS shipping available (Priority Mail for AK/HI/APO/PO Boxes).
Da: BestAroundDeals, Grand Rapids, MI, U.S.A.
EUR 72,37
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Aggiungi al carrelloHardcover. Condizione: New.
Da: BestAroundDeals, Grand Rapids, MI, U.S.A.
EUR 75,08
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Aggiungi al carrelloHardcover. Condizione: New.
EUR 82,53
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Aggiungi al carrelloCondizione: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
EUR 85,99
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Aggiungi al carrelloCondizione: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
EUR 85,99
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Aggiungi al carrelloCondizione: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
EUR 87,67
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Aggiungi al carrelloCondizione: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
EUR 87,67
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Aggiungi al carrelloCondizione: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
EUR 90,04
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Aggiungi al carrelloCondizione: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
Da: Basi6 International, Irving, TX, U.S.A.
EUR 90,04
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Aggiungi al carrelloCondizione: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
Da: Readify Books, Wilmington, DE, U.S.A.
EUR 93,68
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Aggiungi al carrelloHardcover. Condizione: NEW. International Edition, We ship from multiple Locations including India ,Brand New, ISBN and Cover same but contents similar to U.S. Edition, Printed in Black & White. End Chapter Exercises may differ. No CD/Access code. Legal to use despite any disclaimer, We ship to PO , APO and FPO adresses in U.S.A .Choose Expedited Shipping for FASTER DELIVERY.Customer Satisfaction Guaranteed 1.15.
EUR 95,68
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Aggiungi al carrelloCondizione: New.
Da: Books Puddle, New York, NY, U.S.A.
EUR 95,71
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Aggiungi al carrelloCondizione: New. pp.800.
Da: Majestic Books, Hounslow, Regno Unito
EUR 94,64
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Aggiungi al carrelloCondizione: New. pp.800.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 98,01
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Aggiungi al carrelloCondizione: New. pp.800.
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 106,01
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Aggiungi al carrelloCondizione: New. Series: Adaptive Computation and Machine Learning Series. Num Pages: 800 pages, 66 color illus., 100 b&w illus. BIC Classification: UYQM; UYQN. Category: (P) Professional & Vocational. Dimension: 187 x 237 x 35. Weight in Grams: 1278. . 2016. Hardcover. . . . .
EUR 94,50
Convertire valutaQuantità: 2 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. Neuware -An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives. Written by three experts in the field, Deep Learning is the only comprehensive book on the subject. Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceXDeep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning. The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models. Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors. 775 pp. Englisch.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 105,95
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Aggiungi al carrelloCondizione: New. In.
EUR 105,53
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Aggiungi al carrelloCondizione: New.
EUR 94,50
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Aggiungi al carrelloBuch. Condizione: Neu. Neuware -An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives.
Editore: MIT Press Ltd, Cambridge, Mass., 2016
ISBN 10: 0262035618 ISBN 13: 9780262035613
Lingua: Inglese
Da: Grand Eagle Retail, Fairfield, OH, U.S.A.
EUR 123,93
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Aggiungi al carrelloHardcover. Condizione: new. Hardcover. An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives."Written by three experts in the field, Deep Learning is the only comprehensive book on the subject."-Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceXDeep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning.The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models.Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors. An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
EUR 114,37
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Aggiungi al carrelloHardcover. Condizione: Brand New. 775 pages. 9.00x7.25x1.50 inches. In Stock.
Da: Grumpys Fine Books, Tijeras, NM, U.S.A.
EUR 125,39
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Aggiungi al carrelloHardcover. Condizione: new. Prompt service guaranteed.
EUR 80,81
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Aggiungi al carrelloCondizione: NEW.
Da: Kennys Bookstore, Olney, MD, U.S.A.
EUR 131,57
Convertire valutaQuantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. Series: Adaptive Computation and Machine Learning Series. Num Pages: 800 pages, 66 color illus., 100 b&w illus. BIC Classification: UYQM; UYQN. Category: (P) Professional & Vocational. Dimension: 187 x 237 x 35. Weight in Grams: 1278. . 2016. Hardcover. . . . . Books ship from the US and Ireland.
EUR 141,72
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Aggiungi al carrelloHardcover. Condizione: New. Brand New! Fast Delivery US Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 7-12 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.
EUR 141,81
Convertire valutaQuantità: 17 disponibili
Aggiungi al carrelloHardcover. Condizione: Brand New. Brand New! Fast Delivery, Delivery With In 8-14 working Day Only , USA Edition Original Edition. Excellent Quality, Printing In English Language, Quick delivery by FEDEX & DHL. USPS & UPS Act. Our courier service is not available at PO BOX& APO BOX. Ship from India & United States.