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Deep belief nets in C++ and CUDA C : Volume 2, Autoencoding in the complex domain /

Discover the essential building blocks of a common and powerful form of deep belief net: the autoencoder. You'll take this topic beyond current usage by extending it to the complex domain for signal and image processing applications. Deep Belief Nets in C++ and CUDA C: Volume 2 also covers seve...

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Détails bibliographiques
Cote:Libro Electrónico
Auteur principal: Masters, Timothy
Format: Électronique eBook
Langue:Inglés
Publié: [Berkeley, CA] : Apress, [2018]
Sujets:
Accès en ligne:Texto completo (Requiere registro previo con correo institucional)
Table des matières:
  • 0. Introduction
  • 1. Embedded Class Labels
  • 2. Signal Preprocessing
  • 3. Image Preprocessing
  • 4. Autoencoding
  • 5. Deep Operating Manual.