Edité par Cambridge University Press, 2023
ISBN 10 : 1009389432 ISBN 13 : 9781009389433
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Edité par Cambridge University Press, 2023
ISBN 10 : 1009389432 ISBN 13 : 9781009389433
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Edité par Cambridge University Press, 2023
ISBN 10 : 1009389432 ISBN 13 : 9781009389433
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Edité par Cambridge University Press, 2023
ISBN 10 : 1009389432 ISBN 13 : 9781009389433
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Ajouter au panierPAP. Etat : New. New Book. Shipped from UK. Established seller since 2000.
Edité par Cambridge University Press, 2023
ISBN 10 : 1009389432 ISBN 13 : 9781009389433
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Ajouter au panierPaperback. Etat : Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less 3.04.
Edité par Cambridge University Press 2023-07-31, 2023
ISBN 10 : 1009389432 ISBN 13 : 9781009389433
Langue: anglais
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Ajouter au panierPaperback. Etat : New.
Edité par Cambridge University Press Dez 2023, 2023
ISBN 10 : 1009389432 ISBN 13 : 9781009389433
Langue: anglais
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Ajouter au panierTaschenbuch. Etat : Neu. Neuware -Deep learning has revolutionized pattern recognition, introducing tools that power a wide range of technologies in such diverse fields 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 fitting 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. 574 pp. Englisch.
Edité par Cambridge University Press, 2023
ISBN 10 : 1009389432 ISBN 13 : 9781009389433
Langue: anglais
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Edité par Cambridge University Press, 2023
ISBN 10 : 1009389432 ISBN 13 : 9781009389433
Langue: anglais
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Edité par Cambridge University Press, 2023
ISBN 10 : 1009389432 ISBN 13 : 9781009389433
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Ajouter au panierEtat : As New. Unread book in perfect condition.
Edité par Cambridge University Press, 2023
ISBN 10 : 1009389432 ISBN 13 : 9781009389433
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Edité par Cambridge University Press, 2023
ISBN 10 : 1009389432 ISBN 13 : 9781009389433
Langue: anglais
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EUR 38,02
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Edité par Cambridge University Press, 2024
ISBN 10 : 1009389432 ISBN 13 : 9781009389433
Langue: anglais
Vendeur : moluna, Greven, Allemagne
EUR 38,24
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Ajouter au panierEtat : 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.
Edité par Cambridge University Press, 2023
ISBN 10 : 1009389432 ISBN 13 : 9781009389433
Langue: anglais
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EUR 47,59
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Ajouter au panierEtat : New. 2023. paperback. . . . . . Books ship from the US and Ireland.
Edité par Cambridge University Press Dez 2023, 2023
ISBN 10 : 1009389432 ISBN 13 : 9781009389433
Langue: anglais
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
EUR 39,24
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Ajouter au panierTaschenbuch. Etat : Neu. Neuware - Deep learning has revolutionized pattern recognition, introducing tools that power a wide range of technologies in such diverse fields 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 fitting 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.
Edité par Cambridge University Press, GB, 2023
ISBN 10 : 1009389432 ISBN 13 : 9781009389433
Langue: anglais
Vendeur : Rarewaves.com UK, London, Royaume-Uni
EUR 49,43
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Ajouter au panierPaperback. Etat : 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.
Edité par Cambridge University Press, 2023
ISBN 10 : 1009389432 ISBN 13 : 9781009389433
Langue: anglais
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
EUR 34,21
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Ajouter au panierEtat : As New. Unread book in perfect condition.
Edité par Cambridge University Press, GB, 2023
ISBN 10 : 1009389432 ISBN 13 : 9781009389433
Langue: anglais
Vendeur : Rarewaves.com USA, London, LONDO, Royaume-Uni
EUR 53,70
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Ajouter au panierPaperback. Etat : 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 45,26
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Ajouter au panierPaperback. Etat : Brand New. 574 pages. 9.92x7.95x1.02 inches. In Stock.
Edité par Cambridge University Press, GB, 2023
ISBN 10 : 1009389432 ISBN 13 : 9781009389433
Langue: anglais
Vendeur : Rarewaves USA, OSWEGO, IL, Etats-Unis
EUR 54,18
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Ajouter au panierPaperback. Etat : 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.
Edité par Cambridge University Press, GB, 2023
ISBN 10 : 1009389432 ISBN 13 : 9781009389433
Langue: anglais
Vendeur : Rarewaves USA United, OSWEGO, IL, Etats-Unis
EUR 56,06
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Ajouter au panierPaperback. Etat : 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.
Edité par Cambridge University Press, 2023
ISBN 10 : 1009389432 ISBN 13 : 9781009389433
Langue: anglais
Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
EUR 52,62
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Edité par Cambridge University Press, 2023
ISBN 10 : 1009389432 ISBN 13 : 9781009389433
Langue: anglais
Vendeur : Books Puddle, New York, NY, Etats-Unis
EUR 55,58
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Ajouter au panierEtat : New.
Edité par Cambridge University Press, Cambridge, 2023
ISBN 10 : 1009389432 ISBN 13 : 9781009389433
Langue: anglais
Vendeur : CitiRetail, Stevenage, Royaume-Uni
EUR 34,76
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Ajouter au panierPaperback. Etat : new. Paperback. 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 requiredevery 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. This approachable text teaches all the concepts, the context, and the code needed to understand deep learning. Suitable for students and professionals, the book doesn't require any previous background in machine learning or deep learning. Interactive examples feature throughout, with runnable code and executable Jupyter notebooks available online. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Edité par Cambridge University Press, 2023
ISBN 10 : 1009389432 ISBN 13 : 9781009389433
Langue: anglais
Vendeur : Brook Bookstore On Demand, Napoli, NA, Italie
EUR 36,96
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Ajouter au panierEtat : new.
Edité par Cambridge University Press, 2023
ISBN 10 : 1009389432 ISBN 13 : 9781009389433
Langue: anglais
Vendeur : Textbooks_Source, Columbia, MO, Etats-Unis
Edition originale
EUR 27,53
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Ajouter au panierpaperback. Etat : New. 1st Edition. Ships in a BOX from Central Missouri! UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).
Edité par Cambridge University Press
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EUR 21,34
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Ajouter au panierpaperback. Etat : LikeNew. Used Like New, no missing pages, no damage to binding, may have a remainder mark.
Edité par Cambridge University Press, Cambridge, 2023
ISBN 10 : 1009389432 ISBN 13 : 9781009389433
Langue: anglais
Vendeur : AussieBookSeller, Truganina, VIC, Australie
EUR 75,36
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Ajouter au panierPaperback. Etat : new. Paperback. 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 requiredevery 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. This approachable text teaches all the concepts, the context, and the code needed to understand deep learning. Suitable for students and professionals, the book doesn't require any previous background in machine learning or deep learning. Interactive examples feature throughout, with runnable code and executable Jupyter notebooks available online. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Edité par Cambridge University Press, Cambridge, 2023
ISBN 10 : 1009389432 ISBN 13 : 9781009389433
Langue: anglais
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EUR 48,52
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Ajouter au panierPaperback. Etat : new. Paperback. 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 requiredevery 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. This approachable text teaches all the concepts, the context, and the code needed to understand deep learning. Suitable for students and professionals, the book doesn't require any previous background in machine learning or deep learning. Interactive examples feature throughout, with runnable code and executable Jupyter notebooks available online. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.