Variational methods for machine learning with applications to deep networks

Variational methods for machine learning with applications to deep networks

by Cinelli, Lucas Pinheiro

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Title Statements

  • Full title :Variational methods for machine learning with applications to deep networks / Lucas Pinheiro Cinelli, Matheus Araújo Marins, Eduardo Antônio Barros da Silva, Sérgio Lima Netto.

Edition Statements

  • Publication Date:2021

Publication Statements

  • Publisher(s):Springer
  • Place of Publication:Cham
  • Language:eng
  • Publication Date:2021

The Physical Object

  • Description:xiv, 165 pages ; : 25 cm

Edition Identifiers

  • ISBN:9783030706784, 3030706788
  • oclc:on1235415536
  • LC Classification:Q325.5
  • Dewey Decimal:006.3/1

Subjects

Apprentissage automatique Bayesian statistical decision theory Machine learning Neural networks (Computer science) Neural Networks, Computer Réseaux neuronaux (Informatique) Théorie de la décision bayésienne

Writers

Cinelli, Lucas Pinheiro Barros da Silva, Eduardo Antônio Marins, Matheus Araújo Netto, Sergio L., (Sergio Lima)

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