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

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

Author: Timothy Masters
ISBN-10 书号: 148423720X

ISBN-13 书号: 9781484237205
Edition 版本 : 1st ed.

Release Finelybook 出版日期: 2018-09-05
pages 页数: 176

$34.99

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.
Copyright and Credits
Packt Upsell
Contributors
Preface
Reactive Programming Model –Overview and History
A Tour of Modern C++ and its Key ldioms
Language-Level Concurrency and Parallelism in C++
Asynchronous and Lock-Free Programming in C++
Introduction to Observables
Introduction to Event Stream Programming Using C++
Introduction to Data Flow Computation and the RxCpp Library
RxCpp &#×2013;the Key Elements
Reactive GUI Programming Using Qt/C++
Design Patterns and ldioms for C++Rx Programming
Reactive Microservices Using C++
Advanced Streams and Handling Errors
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Deep Belief Nets in C++ and CUDA C: Volume 3: Convolutional Nets
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