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Mathematical Aspects of Deep Learning

Om Mathematical Aspects of Deep Learning

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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  • Språk:
  • Ukjent
  • ISBN:
  • 9781316516782
  • Bindende:
  • Hardback
  • Sider:
  • 492
  • Utgitt:
  • 22. desember 2022
  • Dimensjoner:
  • 171x28x247 mm.
  • Vekt:
  • 1072 g.
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Leveringstid: 4-8 virkedager
Forventet levering: 29. april 2025

Beskrivelse av Mathematical Aspects of Deep Learning

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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