Deep Belief Nets in C++ and CUDA C: Volume 2

Autoencoding in the Complex Domain

de

Éditeur :

Apress


Paru le : 2018-05-29



eBook Téléchargement , DRM LCP 🛈 DRM Adobe 🛈
Lecture en ligne (streaming)
56,19

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 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.

Pages
258 pages
Collection
n.c
Parution
2018-05-29
Marque
Apress
EAN papier
9781484236451
EAN PDF
9781484236468

Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
25
Taille du fichier
5704 Ko
Prix
56,19 €
EAN EPUB
9781484236468

Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
25
Taille du fichier
5919 Ko
Prix
56,19 €

Suggestions personnalisées