Deep Belief Nets in C++ and CUDA C: Volume 1 Restricted Boltzmann Machines and Supervised Feedforward Networks

Discover the essential building blocks of the most common forms of deep belief networks. At each step this book provides intuitive motivation, a summary of the most important equations relevant to the topic, and concludes with highly commented code for threaded computation on modern CPUs as well as...

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Detalles Bibliográficos
Autor principal: Masters, Timothy. author (author)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Berkeley, CA : Apress 2018.
Edición:1st ed. 2018.
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009630721306719
Tabla de Contenidos:
  • 1. Introduction
  • 2. Supervised Feedforward Networks
  • 3. Restricted Boltzmann Machines
  • 4. Greedy Training: Generative Samplings
  • 5. DEEP Operating Manual.