Deep Belief Nets in C++ and CUDA C: Volume 3 Convolutional Nets

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  • Engels
  • Paperback
  • 9781484237205
  • 05 juli 2018
  • 176 pagina's
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Samenvatting

Discover the essential building blocks of a common and powerful form of deep belief network: convolutional nets. This book shows you how the structure of these elegant models is much closer to that of human brains than traditional neural networks; they have a ‘thought process’ that is capable of learning abstract concepts built from simpler primitives. These models are especially useful for image processing applications.
At each step Deep Belief Nets in C++ and CUDA C: Volume 3 presents 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 massive parallel processing on computers with CUDA-capable video display cards. Source code for all routines presented in the book, and the executable CONVNET program which implements these algorithms, are available for free download.

You will:
  • Discover convolutional nets and how to use them
  • Build deep feedforward nets using locally connected layers, pooling layers, and softmax outputs
  • Master the various programming algorithms required
  • Carry out multi-threaded gradient computations and memory allocations for this threading
  • Work with CUDA code implementations of all core computations, including layer activations and gradient calculations
  • Make use of the CONVNET program and manual to explore convolutional nets and case studies

Productspecificaties

Inhoud

Taal
en
Bindwijze
Paperback
Oorspronkelijke releasedatum
05 juli 2018
Aantal pagina's
176
Illustraties
Nee

Betrokkenen

Hoofdauteur
Timothy Masters
Hoofduitgeverij
Apress

Overige kenmerken

Editie
1st ed.
Extra groot lettertype
Nee
Product breedte
178 mm
Product lengte
254 mm
Studieboek
Nee
Verpakking breedte
178 mm
Verpakking hoogte
254 mm
Verpakking lengte
250 mm
Verpakkingsgewicht
165 g

EAN

EAN
9781484237205

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