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Deep learning génératif
book

Deep learning génératif

by David Foster, Dominique Maniez
February 2024
Intermediate to advanced
456 pages
12h 6m
French
Editions First
Content preview from Deep learning génératif

CHAPITRE 1 Modélisation générative

Objectifs du chapitre :

Apprendre les différences principales entre les modèles génératifs et discriminants.

Comprendre les propriétés souhaitables d’un modèle génératif à travers un exemple simple.

Découvrir les concepts probabilistes fondamentaux qui sous-tendent les modèles génératifs.

Explorer les différentes familles de modèles génératifs.

Cloner la base de code qui accompagne ce livre, afin que vous puissiez commencer à construire des modèles génératifs.

Ce chapitre est une introduction générale à la modélisation générative.

Nous commencerons en douceur par une introduction théorique à la modélisation générative et nous verrons comment elle est le pendant naturel de la modélisation discriminante, ...

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Publisher Resources

ISBN: 9782412092699