Marknadens största urval
Snabb leverans

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.

Visa mer
  • Språk:
  • Okänt
  • ISBN:
  • 9781316516782
  • Format:
  • Inbunden
  • Sidor:
  • 492
  • Utgiven:
  • 22. december 2022
  • Mått:
  • 171x28x247 mm.
  • Vikt:
  • 1072 g.
  I lager
Leveranstid: 4-7 vardagar
Förväntad leverans: 2. maj 2025

Beskrivning 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.

Användarnas betyg av Mathematical Aspects of Deep Learning



Hitta liknande böcker
Boken Mathematical Aspects of Deep Learning finns i följande kategorier:

Gör som tusentals andra bokälskare

Prenumerera på vårt nyhetsbrev för att få fantastiska erbjudanden och inspiration för din nästa läsning.