Mathematical Aspects of Deep Learning - - Books - Cambridge University Press - 9781316516782 - December 22, 2022
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Mathematical Aspects of Deep Learning New edition

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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.

485 pages, Worked examples or Exercises

Media Books     Hardcover Book   (Book with hard spine and cover)
Released December 22, 2022
ISBN13 9781316516782
Publishers Cambridge University Press
Pages 492
Dimensions 250 × 177 × 29 mm   ·   1.07 kg
Language English  
Editor Grohs, Philipp (Universitat Wien, Austria)
Editor Kutyniok, Gitta (Ludwig-Maximilians-Universitat Munchen)

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