© Timothy Masters 2018
Timothy MastersDeep Belief Nets in C++ and CUDA C: Volume 1https://doi.org/10.1007/978-1-4842-3591-1_1

1. Introduction

Timothy Masters1 
(1)
Ithaca, New York, USA
 
This book is intended primarily for readers who already have at least a basic knowledge of neural networks but are interested in learning about, experimenting with, and perhaps even programming deep belief nets. The salient features of this book are the following:
  • The book provides motivation for the deep belief net paradigm.

  • It presents the most important equations for the most common deep belief net components and justifies them to a modest degree.

  • The book provides training, execution, and analysis algorithms for common deep belief net paradigms in language-independent ...

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