The Principles of Deep Learning Theory: An Effective Theory Approach to Understanding... (Bog, Hardback, Engelsk)
  1. Forside
  2. Bøger
  3. Engelske bøger
  4. Machine learning
  5. Kunstig intelligens
  6. Statistisk fysik
  7. Matematisk fysik
  8. The Principles of Deep Learning Theory: An Effective Theory...

The Principles of Deep Learning Theory: An Effective Theory Approach to Understanding Neural Networks

(Bog, Hardback, Engelsk)
Forfattere: Daniel A. (Massachusetts Institute of Technology) Roberts, Sho Yaida
The Principles of Deep Learning Theory: An Effective Theory Approach to Understanding Neural Networks
Forlag: Cambridge University Press

Bemærk: Kan leveres før jul.

Når du handler på WilliamDam.dk, betaler du den pris du ser.

  • Ingen gebyrer
  • Ingen abonnementer
  • Ingen bindingsperioder

Relaterede kategorier

Kunstig intelligens Machine learning Matematisk fysik Statistisk fysik
  = Emner / kategorier
  = Sektioner / guides
  = Specialsider
  = Kampagner

Beskrivelse

This is the first book focused entirely on deep learning theory. Tools from theoretical physics are borrowed and adapted to explain, from first principles, how realistic deep neural networks work, benefiting practitioners looking to build better AI models and theorists looking for a unifying framework for understanding intelligence.

Læsernes anmeldelser (0)

Alle detaljer

Forlag Cambridge University Press
Forfattere Daniel A. (Massachusetts Institute of Technology) Roberts, Sho Yaida
Type Bog
Format Hardback
Sprog Engelsk
Udgave New ed
Udgivelsesdato 26-05-2022
Første udgivelsesår 2022
Illustrationer Worked examples or Exercises
Originalsprog United Kingdom
Sideantal 472
Indbinding Hardback
Forlag Cambridge University Press
Sideoplysninger 472 pages, Worked examples or Exercises
Mål 221 x 289 x 33
ISBN-13 / EAN-13 9781316519332