Editore: Cambridge University Press, 2023
ISBN 10: 1009389432 ISBN 13: 9781009389433
Lingua: Inglese
Da: Better World Books: West, Reno, NV, U.S.A.
EUR 25,22
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Editore: Cambridge University Press, 2023
ISBN 10: 1009389432 ISBN 13: 9781009389433
Lingua: Inglese
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 29,15
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Editore: Cambridge University Press, 2023
ISBN 10: 1009389432 ISBN 13: 9781009389433
Lingua: Inglese
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 29,18
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Editore: Cambridge University Press
Da: Academic Book Solutions, Medford, NY, U.S.A.
EUR 21,67
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Aggiungi al carrellopaperback. Condizione: LikeNew. Used Like New, no missing pages, no damage to binding, may have a remainder mark.
Editore: Cambridge University Press, 2023
ISBN 10: 1009389432 ISBN 13: 9781009389433
Lingua: Inglese
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 32,23
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Editore: Cambridge University Press 2023-07-31, 2023
ISBN 10: 1009389432 ISBN 13: 9781009389433
Lingua: Inglese
Da: Chiron Media, Wallingford, Regno Unito
EUR 31,12
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Aggiungi al carrelloPaperback. Condizione: New.
Editore: Cambridge University Press, 2023
ISBN 10: 1009389432 ISBN 13: 9781009389433
Lingua: Inglese
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 35,53
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Editore: Cambridge University Press, GB, 2023
ISBN 10: 1009389432 ISBN 13: 9781009389433
Lingua: Inglese
Da: Rarewaves.com USA, London, LONDO, Regno Unito
EUR 59,00
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Aggiungi al carrelloPaperback. Condizione: New. Deep learning has revolutionized pattern recognition, introducing tools that power a wide range of technologies in such diverse ?elds as computer vision, natural language processing, and automatic speech recognition. Applying deep learning requires you to simultaneously understand how to cast a problem, the basic mathematics of modeling, the algorithms for ?tting your models to data, and the engineering techniques to implement it all. This book is a comprehensive resource that makes deep learning approachable, while still providing sufficient technical depth to enable engineers, scientists, and students to use deep learning in their own work. No previous background in machine learning or deep learning is required-every concept is explained from scratch and the appendix provides a refresher on the mathematics needed. Runnable code is featured throughout, allowing you to develop your own intuition by putting key ideas into practice.
EUR 45,28
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Aggiungi al carrelloPaperback. Condizione: Brand New. 574 pages. 9.92x7.95x1.02 inches. In Stock.
Editore: Cambridge University Press, 2023
ISBN 10: 1009389432 ISBN 13: 9781009389433
Lingua: Inglese
Da: Books Puddle, New York, NY, U.S.A.
EUR 64,27
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EUR 49,82
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Aggiungi al carrelloPaperback. Condizione: Brand New. 574 pages. 9.92x7.95x1.02 inches. In Stock.
Editore: Cambridge University Press, 2023
ISBN 10: 1009389432 ISBN 13: 9781009389433
Lingua: Inglese
Da: Majestic Books, Hounslow, Regno Unito
EUR 61,53
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Editore: Cambridge University Press, 2024
ISBN 10: 1009389432 ISBN 13: 9781009389433
Lingua: Inglese
Da: moluna, Greven, Germania
EUR 38,24
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Aggiungi al carrelloCondizione: New. An approachable text combining the depth and quality of a textbook with the interactive multi-framework code of a hands-on tutorial.Deep learning has revolutionized pattern recognition, introducing tools that power a wide range of technologies in such d.
Editore: Cambridge University Press, 2024
ISBN 10: 1009389432 ISBN 13: 9781009389433
Lingua: Inglese
Da: Buchpark, Maidenhead, Berkshire, Regno Unito
EUR 18,22
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Aggiungi al carrelloCondizione: Fine. Condition: Fine | Language: English | Product Type: Books.
Editore: Cambridge University Press, GB, 2023
ISBN 10: 1009389432 ISBN 13: 9781009389433
Lingua: Inglese
Da: Rarewaves.com UK, London, Regno Unito
EUR 53,84
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: New. Deep learning has revolutionized pattern recognition, introducing tools that power a wide range of technologies in such diverse ?elds as computer vision, natural language processing, and automatic speech recognition. Applying deep learning requires you to simultaneously understand how to cast a problem, the basic mathematics of modeling, the algorithms for ?tting your models to data, and the engineering techniques to implement it all. This book is a comprehensive resource that makes deep learning approachable, while still providing sufficient technical depth to enable engineers, scientists, and students to use deep learning in their own work. No previous background in machine learning or deep learning is required-every concept is explained from scratch and the appendix provides a refresher on the mathematics needed. Runnable code is featured throughout, allowing you to develop your own intuition by putting key ideas into practice.