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Mathematical Aspects of Deep Learning
Language: English
Published by Cambridge University Press, 2023
ISBN 10: 1316516784 ISBN 13: 9781316516782
hardcover. Condition: Very Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or limited writing/highlighting. We ship orders daily and Customer Service is our top priority!
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Mathematical Aspects of Deep Learning
Language: English
Published by Cambridge University Press, 2023
ISBN 10: 1316516784 ISBN 13: 9781316516782
Seller: WorldofBooks, Goring-By-Sea, WS, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.
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Mathematical Aspects of Deep Learning
Language: English
Published by Cambridge University Press, 2023
ISBN 10: 1316516784 ISBN 13: 9781316516782
Seller: Book House in Dinkytown, IOBA, Minneapolis, MN, U.S.A.
Association Member: IOBA
Seller rating 5 out of 5 stars
First Edition
Hardcover. Condition: Very Good+. First Edition. Hardcover in very good+ condition. NOT ex-lib. Text clean. Exterior looks great. Binding is tight, sturdy, and square. Ships same or next business day from Dinkytown in Minneapolis, Minnesota. Due to the size/weight of this book extra charges may be requested for international shipping.
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Mathematical aspects of deep learning.
Language: English
Published by Cambridge University Press, 2023
Cambridge University Press, 2023. In-8, XVIII+473pp. Plein cartonnage de l'éditeur (hardcover). Cartonnage très légèrement défraichi.
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Mathematical Aspects of Deep Learning
Language: English
Published by Cambridge University Press, 2023
ISBN 10: 1316516784 ISBN 13: 9781316516782
Condition: New.
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Mathematical Aspects of Deep Learning
Language: English
Published by Cambridge University Press, 2023
ISBN 10: 1316516784 ISBN 13: 9781316516782
Condition: Brand New. Ships SAME or NEXT business day. We Ship to APO/FPO addr. Choose EXPEDITED shipping and receive in 2-5 business days within the United States. See our member profile for customer support contact info. We have an easy return policy.
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Mathematical Aspects of Deep Learning
Language: English
Published by Cambridge University Press, 2023
ISBN 10: 1316516784 ISBN 13: 9781316516782
Condition: New.
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Mathematical Aspects of Deep Learning
Language: English
Published by Cambridge University Press, 2023
ISBN 10: 1316516784 ISBN 13: 9781316516782
Condition: Used.
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Mathematical Aspects of Deep Learning
Language: English
Published by Cambridge University Press, 2023
ISBN 10: 1316516784 ISBN 13: 9781316516782
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Mathematical Aspects of Deep Learning
Language: English
Published by Cambridge University Press, 2023
ISBN 10: 1316516784 ISBN 13: 9781316516782
Condition: As New. Unread book in perfect condition.
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Mathematical Aspects of Deep Learning
Language: English
Published by Cambridge University Press, 2022
ISBN 10: 1316516784 ISBN 13: 9781316516782
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Seller rating 4 out of 5 stars
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Mathematical Aspects of Deep Learning
Language: English
Published by Cambridge University Press, 2023
ISBN 10: 1316516784 ISBN 13: 9781316516782
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
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Mathematical Aspects of Deep Learning
Language: English
Published by Cambridge University Press 2022-09-30, 2022
ISBN 10: 1316516784 ISBN 13: 9781316516782
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Mathematical Aspects of Deep Learning
Language: English
Published by Cambridge University Press, 2023
ISBN 10: 1316516784 ISBN 13: 9781316516782
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Mathematical Aspects of Deep Learning
Language: English
Published by Cambridge University Press, 2023
ISBN 10: 1316516784 ISBN 13: 9781316516782
Condition: Used.
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Mathematical Aspects of Deep Learning
Language: English
Published by Cambridge University Press, 2022
ISBN 10: 1316516784 ISBN 13: 9781316516782
US$ 112.03
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Add to basketHardcover. Condition: Brand New. 485 pages. 10.00x7.00x1.00 inches. In Stock.
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Mathematical Aspects of Deep Learning
Language: English
Published by Cambridge University Press, 2022
ISBN 10: 1316516784 ISBN 13: 9781316516782
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
Condition: New. 2022. New. Hardcover. . . . . .
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Mathematical Aspects of Deep Learning
Language: English
Published by Cambridge University Press, 2023
ISBN 10: 1316516784 ISBN 13: 9781316516782
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
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MATHEMATICAL ASPECTS OF DEEP LEARNING
Language: English
Published by Cambridge University Press, 2023
ISBN 10: 1316516784 ISBN 13: 9781316516782
US$ 92.22
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Ships from United Kingdom to U.S.A.Quantity: 1 available
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Mathematical Aspects of Deep Learning
Language: English
Published by Cambridge University Press, 2023
ISBN 10: 1316516784 ISBN 13: 9781316516782
Condition: New. 2022. New. Hardcover. . . . . . Books ship from the US and Ireland.
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Mathematical Aspects of Deep Learning
Language: English
Published by Cambridge University Press, 2022
ISBN 10: 1316516784 ISBN 13: 9781316516782
US$ 154.61
US$ 20.03 shipping
Ships from United Kingdom to U.S.A.Quantity: 2 available
Add to basketHardcover. Condition: Brand New. 485 pages. 10.00x7.00x1.00 inches. In Stock.
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Mathematical Aspects of Deep Learning
Language: English
Published by Cambridge University Press, 2022
ISBN 10: 1316516784 ISBN 13: 9781316516782
Gebunden. Condition: 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.
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Mathematical Aspects of Deep Learning
Language: English
Published by Cambridge University Press, 2023
ISBN 10: 1316516784 ISBN 13: 9781316516782
Buch. Condition: 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.
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Mathematical Aspects of Deep Learning
Language: English
Published by Cambridge University Press, 2022
ISBN 10: 1316516784 ISBN 13: 9781316516782
Buch. Condition: 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.
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Mathematical Aspects of Deep Learning (Hardcover)
Language: English
Published by Cambridge University Press, Cambridge, 2022
ISBN 10: 1316516784 ISBN 13: 9781316516782
Hardcover. Condition: 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.
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Mathematical Aspects of Deep Learning (Hardcover)
Language: English
Published by Cambridge University Press, Cambridge, 2022
ISBN 10: 1316516784 ISBN 13: 9781316516782
US$ 136.82
US$ 49.40 shipping
Ships from United Kingdom to U.S.A.Quantity: 1 available
Add to basketHardcover. Condition: 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.
-
Mathematical Aspects of Deep Learning (Hardcover)
Language: English
Published by Cambridge University Press, Cambridge, 2022
ISBN 10: 1316516784 ISBN 13: 9781316516782
Hardcover. Condition: 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.
