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R Deep Learning Projects
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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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R Deep Learning Projects
Master the techniques to design and develop neural network models in R
Yuxi (Hayden) Liu
Pablo Maldonado
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BIRMINGHAM - MUMBAI
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R Deep Learning Projects
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Commissioning Editor: Amey Varangaonkar
Acquisition Editor: Tushar Gupta
Content Development Editor: Aishwarya Pandere
Technical Editor: Prasad Ramesh
Copy Editor: Safis Editing
Project Coordinator: Nidhi Joshi
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Graphics: Tania Dutta
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First published: February 2018
Production reference: 1160218
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ISBN 978-1-78847-840-3
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