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

Convolutional Nets

de

Éditeur :

Apress


Paru le : 2018-07-04



eBook Téléchargement , DRM LCP 🛈 DRM Adobe 🛈
Lecture en ligne (streaming)
62,11

Téléchargement immédiat
Dès validation de votre commande
Ajouter à ma liste d'envies
Image Louise Reader présentation

Louise Reader

Lisez ce titre sur l'application Louise Reader.

Description


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.




What You Will Learn
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



Who This Book Is For

Those who have at least a basic knowledge of neural networks and some prior programming experience, although some C++ and CUDA C is recommended.



Pages
176 pages
Collection
n.c
Parution
2018-07-04
Marque
Apress
EAN papier
9781484237205
EAN PDF
9781484237212

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
17
Taille du fichier
1669 Ko
Prix
62,11 €
EAN EPUB
9781484237212

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
17
Taille du fichier
1300 Ko
Prix
62,11 €

Suggestions personnalisées