Editore: Addison-Wesley Professional, 2019
ISBN 10: 0135116694 ISBN 13: 9780135116692
Lingua: Inglese
Da: Basi6 International, Irving, TX, U.S.A.
EUR 27,01
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Aggiungi al carrelloCondizione: Brand New. New.SoftCover International edition. Different ISBN and Cover image but contents are same as US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
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Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 62,88
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Editore: Addison-Wesley Professional, 2019
ISBN 10: 0135116694 ISBN 13: 9780135116692
Lingua: Inglese
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 57,21
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Editore: Addison-Wesley Professional, 2019
ISBN 10: 0135116694 ISBN 13: 9780135116692
Lingua: Inglese
Da: Romtrade Corp., STERLING HEIGHTS, MI, U.S.A.
EUR 67,83
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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.
Editore: Addison-Wesley Professional, 2019
ISBN 10: 0135116694 ISBN 13: 9780135116692
Lingua: Inglese
Da: Basi6 International, Irving, TX, U.S.A.
EUR 68,03
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Da: moluna, Greven, Germania
EUR 58,79
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Aggiungi al carrelloCondizione: New. Über den Autor Jon Krohn is the chief data scientist at untapt, a machine learning startup in New York. He leads a flourishing Deep Learning Study Group, presents the acclaimed Deep Learning with TensorFlow LiveLessons i.
Editore: Addison-Wesley Professional, 2019
ISBN 10: 0135116694 ISBN 13: 9780135116692
Lingua: Inglese
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 52,87
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Da: Majestic Books, Hounslow, Regno Unito
EUR 60,88
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Editore: Addison-Wesley Professional, 2019
ISBN 10: 0135116694 ISBN 13: 9780135116692
Lingua: Inglese
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 55,09
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Editore: Addison-Wesley Professional, 2019
ISBN 10: 0135116694 ISBN 13: 9780135116692
Lingua: Inglese
Da: Revaluation Books, Exeter, Regno Unito
EUR 63,70
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Aggiungi al carrelloPaperback. Condizione: Brand New. illustrated edition. 320 pages. 9.00x6.75x0.50 inches. In Stock.
Da: Books Puddle, New York, NY, U.S.A.
EUR 69,20
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Da: Kennys Bookstore, Olney, MD, U.S.A.
EUR 76,84
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Aggiungi al carrelloCondizione: New. 2019. Paperback. . . . . . Books ship from the US and Ireland.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 70,78
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Editore: Addison-Wesley Professional, 2019
ISBN 10: 0135116694 ISBN 13: 9780135116692
Lingua: Inglese
Da: Revaluation Books, Exeter, Regno Unito
EUR 71,88
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Aggiungi al carrelloPaperback. Condizione: Brand New. illustrated edition. 320 pages. 9.00x6.75x0.50 inches. In Stock.
Editore: Pearson Education (US), Boston, 2019
ISBN 10: 0135116694 ISBN 13: 9780135116692
Lingua: Inglese
Da: CitiRetail, Stevenage, Regno Unito
EUR 54,23
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Aggiungi al carrelloPaperback. Condizione: new. Paperback. Deep learning is one of today's hottest fields. This approach to machine learning is achieving breakthrough results in some of today's highest profile applications, in organisations ranging from Google to Tesla, Facebook to Apple. Thousands of technical professionals and students want to start leveraging its power, but previous books on deep learning have often been non-intuitive, inaccessible, and dry. In Deep Learning Illustrated, three world-class instructors and practitioners present a uniquely visual, intuitive, and accessible high-level introduction to the techniques and applications of deep learning. Packed with vibrant, full-colour illustrations, it abstracts away much of the complexity of building deep learning models, making the field more fun to learn, and accessible to a far wider audience. Samples Preview sample pages from Deep Learning Illustrated: A Visual, Interactive Guide to Artificial Intelligence > Part I's high-level overview explains what Deep Learning is, why it has become so ubiquitous, and how it relates to concepts and terminology such as Artificial Intelligence, Machine Learning, Artificial Neural Networks, and Reinforcement Learning. These opening chapters are replete with vivid illustrations, easy-to-grasp analogies, and character-focused narratives. Building on this foundation, the authors then offer a practical reference and tutorial for applying a wide spectrum of proven deep learning techniques. Essential theory is covered with as little mathematics as possible, and illuminated with hands-on Python code. Theory is supported with practical 'run-throughs' available in accompanying Jupyter notebooks, delivering a pragmatic understanding of all major deep learning approaches and their applications: machine vision, natural language processing, image generation, and videogaming. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Editore: Pearson Education (US), Boston, 2019
ISBN 10: 0135116694 ISBN 13: 9780135116692
Lingua: Inglese
Da: AussieBookSeller, Truganina, VIC, Australia
EUR 59,10
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Aggiungi al carrelloPaperback. Condizione: new. Paperback. Deep learning is one of today's hottest fields. This approach to machine learning is achieving breakthrough results in some of today's highest profile applications, in organisations ranging from Google to Tesla, Facebook to Apple. Thousands of technical professionals and students want to start leveraging its power, but previous books on deep learning have often been non-intuitive, inaccessible, and dry. In Deep Learning Illustrated, three world-class instructors and practitioners present a uniquely visual, intuitive, and accessible high-level introduction to the techniques and applications of deep learning. Packed with vibrant, full-colour illustrations, it abstracts away much of the complexity of building deep learning models, making the field more fun to learn, and accessible to a far wider audience. Samples Preview sample pages from Deep Learning Illustrated: A Visual, Interactive Guide to Artificial Intelligence > Part I's high-level overview explains what Deep Learning is, why it has become so ubiquitous, and how it relates to concepts and terminology such as Artificial Intelligence, Machine Learning, Artificial Neural Networks, and Reinforcement Learning. These opening chapters are replete with vivid illustrations, easy-to-grasp analogies, and character-focused narratives. Building on this foundation, the authors then offer a practical reference and tutorial for applying a wide spectrum of proven deep learning techniques. Essential theory is covered with as little mathematics as possible, and illuminated with hands-on Python code. Theory is supported with practical 'run-throughs' available in accompanying Jupyter notebooks, delivering a pragmatic understanding of all major deep learning approaches and their applications: machine vision, natural language processing, image generation, and videogaming. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Editore: Pearson Education (US), Boston, 2019
ISBN 10: 0135116694 ISBN 13: 9780135116692
Lingua: Inglese
Da: Grand Eagle Retail, Fairfield, OH, U.S.A.
EUR 57,46
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Aggiungi al carrelloPaperback. Condizione: new. Paperback. Deep learning is one of today's hottest fields. This approach to machine learning is achieving breakthrough results in some of today's highest profile applications, in organisations ranging from Google to Tesla, Facebook to Apple. Thousands of technical professionals and students want to start leveraging its power, but previous books on deep learning have often been non-intuitive, inaccessible, and dry. In Deep Learning Illustrated, three world-class instructors and practitioners present a uniquely visual, intuitive, and accessible high-level introduction to the techniques and applications of deep learning. Packed with vibrant, full-colour illustrations, it abstracts away much of the complexity of building deep learning models, making the field more fun to learn, and accessible to a far wider audience. Samples Preview sample pages from Deep Learning Illustrated: A Visual, Interactive Guide to Artificial Intelligence > Part I's high-level overview explains what Deep Learning is, why it has become so ubiquitous, and how it relates to concepts and terminology such as Artificial Intelligence, Machine Learning, Artificial Neural Networks, and Reinforcement Learning. These opening chapters are replete with vivid illustrations, easy-to-grasp analogies, and character-focused narratives. Building on this foundation, the authors then offer a practical reference and tutorial for applying a wide spectrum of proven deep learning techniques. Essential theory is covered with as little mathematics as possible, and illuminated with hands-on Python code. Theory is supported with practical 'run-throughs' available in accompanying Jupyter notebooks, delivering a pragmatic understanding of all major deep learning approaches and their applications: machine vision, natural language processing, image generation, and videogaming. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.