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Mathematical Aspects of Deep Learning

About 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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  • Language:
  • Unknown
  • ISBN:
  • 9781316516782
  • Binding:
  • Hardback
  • Pages:
  • 492
  • Published:
  • December 21, 2022
  • Dimensions:
  • 171x28x247 mm.
  • Weight:
  • 1072 g.
  In stock
Delivery: 3-5 business days
Expected delivery: December 5, 2024

Description of 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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