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R Deep Learning Projects

You're reading from   R Deep Learning Projects Master the techniques to design and develop neural network models in R

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Product type Paperback
Published in Feb 2018
Publisher Packt
ISBN-13 9781788478403
Length 258 pages
Edition 1st Edition
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Authors (2):
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Yuxi (Hayden) Liu Yuxi (Hayden) Liu
Author Profile Icon Yuxi (Hayden) Liu
Yuxi (Hayden) Liu
Pablo Maldonado Pablo Maldonado
Author Profile Icon Pablo Maldonado
Pablo Maldonado
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Preface

In this book, we have tried to make a case for using deep learning within R. Most deep learning power-users would shun R and go for other languages, such as Python. We, however, believe that R has a solid ecosystem of packages, and visualization and manipulation tools, that can be combined with deep learning libraries to create interesting projects. R also has a huge base of users without a software engineering background (perhaps you are one of them?), and those users are increasingly interested in applications that deep learning is making possible, but they do not have time to learn Python. 

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