Computational Methods for Deep Learning : Theory, Algorithms, and Implementations

Language: English

Published by Springer, Springer, 2023

9819948223 / 9789819948222

Series: Book 80 of 83 - Texts in Computer Science

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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Druck auf Anfrage Neuware - Printed after ordering - The first edition of this textbook was published in 2021. Over the past two years, we have invested in enhancing all aspects of deep learning methods to ensure the book is comprehensive and impeccable. Taking into account feedback from our readers and audience, the author has diligently updated this book.The second edition of this textbook presents control theory, transformer models, and graph neural networks (GNN) in deep learning. We have incorporated the latest algorithmic advances and large-scale deep learning models, such as GPTs, to align with the current research trends. Through the second edition, this book showcases how computational methods in deep learning serve as a dynamic driving force in this era of artificial intelligence (AI). This book is intended for research students, engineers, as well as computer scientists with interest in computational methods in deep learning. Furthermore, it is also well-suited for researchers exploring topics such as machine intelligence, robotic control, and related areas.

Seller Inventory # 9789819948222

Title
Computational Methods for Deep Learning : Theory, Algorithms, and Implementations
Author
Wei Qi Yan
Publisher
Springer, Springer
Publication year
2023
Condition
Neu
Binding
Buch
Language
English
ISBN 10
9819948223
ISBN 13
9789819948222
Edition
2nd Edition
Item weight
535 grams
Dimensions
241x160x19 mm
Series
Book 80 of 83: Texts in Computer Science

AHA-BUCH GmbH

Einbeck, Germany

5-star seller

AbeBooks seller since August 14, 2006

Shipping rates from Germany to U.S.A.

Item30 to 40 business days7 to 14 business days
First itemUS$ 72.65US$ 84.24
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