Mathematical Aspects of Deep Learning, Hardback/***
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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. Publisher: Cambridge University Press Illustration(s): Worked examples or Exercises Number of pages: 492 Publication date: 2022 Dimensions: 177 x 250 x 29 Cover type: Hardback Editor(s): Gitta (Ludwig-Maximilians-Universitat Munchen) Kutyniok
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