Deep Belief Nets in C++ and CUDA C: Volume 2 - Autoencoding in the Complex Domain (Paperback, 1st ed.)

Discover the essential building blocks of a common and powerful form of deep belief net: the autoencoder. You'll take this topic beyond current usage by extending it to the complex domain for signal and image processing applications. Deep Belief Nets in C++ and CUDA C: Volume 2 also covers several algorithms for preprocessing time series and image data. These algorithms focus on the creation of complex-domain predictors that are suitable for input to a complex-domain autoencoder. Finally, you'll learn a method for embedding class information in the input layer of a restricted Boltzmann machine. This facilitates generative display of samples from individual classes rather than the entire data distribution. The ability to see the features that the model has learned for each class separately can be invaluable. At each step this book provides you with intuitive motivation, a summary of the most important equations relevant to the topic, and highly commented code for threaded computation on modern CPUs as well as massive parallel processing on computers with CUDA-capable video display cards. What You'll Learn Code for deep learning, neural networks, and AI using C++ and CUDA C Carry out signal preprocessing using simple transformations, Fourier transforms, Morlet wavelets, and more Use the Fourier Transform for image preprocessing Implement autoencoding via activation in the complex domain Work with algorithms for CUDA gradient computation Use the DEEP operating manual 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.

General

Imprint:	Apress
Country of origin:	United States
Release date:	June 2018
First published:	2018
Authors:	Timothy Masters
Dimensions:	254 x 178mm (L x W)
Format:	Paperback
Pages:	258
Edition:	1st ed.
ISBN-13:	978-1-4842-3645-1
Categories:	Books > Business & Economics > Business & management > Business mathematics & systems > General Books > Computing & IT > Computer programming > Programming languages > General Books > Computing & IT > Applications of computing > Databases > General Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	1-4842-3645-9
Barcode:	9781484236451

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