Variational methods for machine learning with applications to deep networks
Auteur :
Cinelli, Lucas Pinheiro / Marins, Matheus Araújo / Barros da Silva, Eduardo Antônio / Netto, Sérgio Lima
Éditeur :
Springer Nature Switzerland AG
ISBN :
9783030706814
Date de publication :
12 mai 2022
Dimensions :
23,5 x 15,5 cm
Langue :
Anglais
Pays d'origine :
Suisse
This book provides a straightforward look at the concepts, algorithms and advantages of Bayesian Deep Learning and Deep Generative Models.