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Deep belief nets in C++ and CUDA C. Volume 3, Convolutional nets /
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 capa...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
New York :
Apress,
[2018]
|
| Colección: | ITpro collection
|
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 100 | 1 | |a Masters, Timothy, |e author. | |
| 245 | 1 | 0 | |a Deep belief nets in C++ and CUDA C. |n Volume 3, |p Convolutional nets / |c Timothy Masters. |
| 246 | 3 | 0 | |a Convolutional nets |
| 264 | 1 | |a New York : |b Apress, |c [2018] | |
| 264 | 4 | |c ©2018 | |
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| 520 | |a 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. | ||
| 505 | 0 | |a 1. Feedforward Networks -- 2. Programming Algorithms -- 3. CUDA Code -- 4. CONVNET Manual. | |
| 504 | |a Includes bibliographical references and index. | ||
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 650 | 0 | |a Neural networks (Computer science) | |
| 650 | 0 | |a C++ (Computer program language) | |
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| 650 | 7 | |a Neural networks (Computer science) |2 fast | |
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