Variational methods for machine learning with applications to deep networks

Variational methods for machine learning with applications to deep networks

This book provides a straightforward look at the concepts, algorithms and advantages of Bayesian Deep Learning and Deep Generative Models. Starting from the model-based approach to Machine Learning, the authors motivate Probabilistic Graphical Models and show how Bayesian inference naturally lends i...

Cur síos iomlán

Sonraí bibleagrafaíochta
Príomhchruthaitheoirí: Cinelli, Lucas Pinheiro (Údar), Marins, Matheus Araújo (Údar), da Silva, Eduardo Antônio Barros (Údar), Netto, Sérgio Lima (Údar)
Formáid: Electronic Resource
Teanga:English
Foilsithe / Cruthaithe: Switzerland Springer [2021]
Ábhair:
Electrical engineering.
Machine learning.
Computational intelligence.
Electronic books.
Rochtain ar líne:https://link-springer-com.ezproxy.engglib.upd.edu.ph/book/10.1007/978-3-030-70679-1
https://doi.org/10.1007/978-3-030-70679-1