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Can I read Variational Methods for Machine Learning with Applications to Deep Networks on EtoBox?
Variational Methods for Machine Learning with Applications to Deep Networks by Lucas Pinheiro Cinelli,Matheus Araújo Marins,Eduardo Antônio Barros da Silva,Sérgio Lima Netto (auth.) is a engineering available to read on EtoBox.
What is Variational Methods for Machine Learning with Applications to Deep Networks about?
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 itself to this framework. The authors present detailed explanations of the main modern algorithms on variational approximations for Bayesian inference in neural networks. Each algorithm of this selecte
Who reads Variational Methods for Machine Learning with Applications to Deep Networks?
It is typically read by working professionals who need an authoritative practice reference.
Common subject areas: medicine, law, business, engineering.
- Author
- Lucas Pinheiro Cinelli,Matheus Araújo Marins,Eduardo Antônio Barros da Silva,Sérgio Lima Netto (auth.)
- Publisher
- Springer International Publishing : Imprint: Springer
- Published
- 2021
- Language
- EN
- ISBN
- 9783030706791
- Category
- engineering
- Subjects
- Science, Engineering, Mathematics
- Updated
- 2026-03-25
Other editions & translations
More by Lucas Pinheiro Cinelli,Matheus Araújo Marins,Eduardo Antônio Barros da Silva,Sérgio Lima Netto (auth.)
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