Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1316516784 ISBN 13: 9781316516782
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Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1316516784 ISBN 13: 9781316516782
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Lingua: Inglese
Editore: Cambridge University Press, 2023
Da: Rometti Vincent, Nice, Francia
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Aggiungi al carrelloCambridge University Press, 2023. In-8, XVIII+473pp. Plein cartonnage de l'éditeur (hardcover). Cartonnage très légèrement défraichi.
Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1316516784 ISBN 13: 9781316516782
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Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1316516784 ISBN 13: 9781316516782
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Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1316516784 ISBN 13: 9781316516782
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Lingua: Inglese
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ISBN 10: 1316516784 ISBN 13: 9781316516782
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Lingua: Inglese
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ISBN 10: 1316516784 ISBN 13: 9781316516782
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Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1316516784 ISBN 13: 9781316516782
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Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1316516784 ISBN 13: 9781316516782
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Lingua: Inglese
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ISBN 10: 1316516784 ISBN 13: 9781316516782
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Editore: Cambridge University Press 2022-09-30, 2022
ISBN 10: 1316516784 ISBN 13: 9781316516782
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ISBN 10: 1316516784 ISBN 13: 9781316516782
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Lingua: Inglese
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ISBN 10: 1316516784 ISBN 13: 9781316516782
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Lingua: Inglese
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ISBN 10: 1316516784 ISBN 13: 9781316516782
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Lingua: Inglese
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ISBN 10: 1316516784 ISBN 13: 9781316516782
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Lingua: Inglese
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ISBN 10: 1316516784 ISBN 13: 9781316516782
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Editore: Cambridge University Press, 2022
ISBN 10: 1316516784 ISBN 13: 9781316516782
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Aggiungi al carrelloHardcover. Condizione: Brand New. 485 pages. 10.00x7.00x1.00 inches. In Stock.
Lingua: Inglese
Editore: Cambridge University Press, 2022
ISBN 10: 1316516784 ISBN 13: 9781316516782
Da: moluna, Greven, Germania
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Aggiungi al carrelloGebunden. Condizione: New. Inhaltsverzeichnis1. The modern mathematics of deep learning Julius Berner, Philipp Grohs, Gitta Kutyniok and Philipp Petersen 2. Generalization in deep learning Kenji Kawaguchi, Leslie Pack Kaelbling, and Yoshua Bengio 3. Expressivity.
Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1316516784 ISBN 13: 9781316516782
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 103,88
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Aggiungi al carrelloBuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - The development of a theoretical foundation for deep learning methods constitutes one of the most active and exciting research topics in applied mathematics. Written by leading experts in the field, this book acts as a mathematical introduction to deep learning for researchers and graduate students trying to get into the field.
Lingua: Inglese
Editore: Cambridge University Press, 2022
ISBN 10: 1316516784 ISBN 13: 9781316516782
Da: preigu, Osnabrück, Germania
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Aggiungi al carrelloBuch. Condizione: Neu. Mathematical Aspects of Deep Learning | Philipp Grohs (u. a.) | Buch | Gebunden | Englisch | 2022 | Cambridge University Press | EAN 9781316516782 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
Lingua: Inglese
Editore: Cambridge University Press, Cambridge, 2022
ISBN 10: 1316516784 ISBN 13: 9781316516782
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Hardcover. Condizione: new. Hardcover. In recent years the development of new classification and regression algorithms based on deep learning has led to a revolution in the fields of artificial intelligence, machine learning, and data analysis. The development of a theoretical foundation to guarantee the success of these algorithms constitutes one of the most active and exciting research topics in applied mathematics. This book presents the current mathematical understanding of deep learning methods from the point of view of the leading experts in the field. It serves both as a starting point for researchers and graduate students in computer science, mathematics, and statistics trying to get into the field and as an invaluable reference for future research. The development of a theoretical foundation for deep learning methods constitutes one of the most active and exciting research topics in applied mathematics. Written by leading experts in the field, this book acts as a mathematical introduction to deep learning for researchers and graduate students trying to get into the field. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Lingua: Inglese
Editore: Cambridge University Press, Cambridge, 2022
ISBN 10: 1316516784 ISBN 13: 9781316516782
Da: CitiRetail, Stevenage, Regno Unito
EUR 102,31
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Aggiungi al carrelloHardcover. Condizione: new. Hardcover. In recent years the development of new classification and regression algorithms based on deep learning has led to a revolution in the fields of artificial intelligence, machine learning, and data analysis. The development of a theoretical foundation to guarantee the success of these algorithms constitutes one of the most active and exciting research topics in applied mathematics. This book presents the current mathematical understanding of deep learning methods from the point of view of the leading experts in the field. It serves both as a starting point for researchers and graduate students in computer science, mathematics, and statistics trying to get into the field and as an invaluable reference for future research. The development of a theoretical foundation for deep learning methods constitutes one of the most active and exciting research topics in applied mathematics. Written by leading experts in the field, this book acts as a mathematical introduction to deep learning for researchers and graduate students trying to get into the field. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Lingua: Inglese
Editore: Cambridge University Press, Cambridge, 2022
ISBN 10: 1316516784 ISBN 13: 9781316516782
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EUR 144,56
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Aggiungi al carrelloHardcover. Condizione: new. Hardcover. In recent years the development of new classification and regression algorithms based on deep learning has led to a revolution in the fields of artificial intelligence, machine learning, and data analysis. The development of a theoretical foundation to guarantee the success of these algorithms constitutes one of the most active and exciting research topics in applied mathematics. This book presents the current mathematical understanding of deep learning methods from the point of view of the leading experts in the field. It serves both as a starting point for researchers and graduate students in computer science, mathematics, and statistics trying to get into the field and as an invaluable reference for future research. The development of a theoretical foundation for deep learning methods constitutes one of the most active and exciting research topics in applied mathematics. Written by leading experts in the field, this book acts as a mathematical introduction to deep learning for researchers and graduate students trying to get into the field. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.