Etat : Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service. N� de r�f. du vendeur ABEJUNE24-346758

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Geometry of Deep Learning

Jong Chul Ye

Edit� par Springer Nature Singapore Jan 2023, 2023

ISBN 10 : 9811660484 ISBN 13 : 9789811660481

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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The focus of this book is on providing students with insights into geometry that can help them understand deep learning from a unified perspective. Rather than describing deep learning as an implementation technique, as is usually the case in many existing deep learning books, here, deep learning is explained as an ultimate form of signal processing techniques that can be imagined.To support this claim, an overview of classical kernel machine learning approaches is presented, and their advantages and limitations are explained. Following a detailed explanation of the basic building blocks of deep neural networks from a biological and algorithmic point of view, the latest tools such as attention, normalization, Transformer, BERT, GPT-3, and others are described. Here, too, the focus is on the fact that in these heuristic approaches, there is an important, beautiful geometric structure behind the intuition that enables a systematic understanding. A unified geometric analysis to understand the working mechanism of deep learning from high-dimensional geometry is offered. Then, different forms of generative models like GAN, VAE, normalizing flows, optimal transport, and so on are described from a unified geometric perspective, showing that they actually come from statistical distance-minimization problems.Because this book contains up-to-date information from both a practical and theoretical point of view, it can be used as an advanced deep learning textbook in universities or as a reference source for researchers interested in acquiring the latest deep learning algorithms and their underlying principles. In addition, the book has been prepared for a codeshare course for both engineering and mathematics students, thus much of the content is interdisciplinary and will appeal to students from both disciplines. 348 pp. Englisch. N� de r�f. du vendeur 9789811660481

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Geometry of Deep Learning: A Signal Processing Perspective (Mathematics in Industry)

Ye, Jong Chul

Edit� par Springer, 2023

ISBN 10 : 9811660484 ISBN 13 : 9789811660481

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Vendeur : Books Puddle, New York, NY, Etats-Unis

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Etat : New. 1st ed. 2022 edition NO-PA16APR2015-KAP. N� de r�f. du vendeur 26396347259

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Geometry of Deep Learning : A Signal Processing Perspective

Ye, Jong Chul

Edit� par Springer, 2023

ISBN 10 : 9811660484 ISBN 13 : 9789811660481

Neuf Couverture souple

Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni

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Etat : New. N� de r�f. du vendeur 45588227-n

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Geometry of Deep Learning: A Signal Processing Perspective

Ye, Jong Chul

Edit� par Springer, 2023

ISBN 10 : 9811660484 ISBN 13 : 9789811660481

Neuf Couverture souple

Vendeur : Romtrade Corp., STERLING HEIGHTS, MI, Etats-Unis

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Etat : 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. N� de r�f. du vendeur ABTA-116674

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Geometry of Deep Learning: A Signal Processing Perspective

Edit� par Springer, 2023

ISBN 10 : 9811660484 ISBN 13 : 9789811660481

Neuf Couverture souple

Vendeur : Basi6 International, Irving, TX, Etats-Unis

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Etat : Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service. N� de r�f. du vendeur ABEJUNE24-380042

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