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R Deep Learning Cookbook

You're reading from R Deep Learning Cookbook Solve complex neural net problems with TensorFlow, H2O and MXNet

Product type Paperback

Published in Aug 2017

Publisher Packt

ISBN-13 9781787121089

Length 288 pages

Edition 1st Edition

Languages

R

Tools

H2O

Concepts

Deep Learning

Authors (2):

Achyutuni Sri Krishna Rao

PKS Prakash

View More author details

Table of Contents (11) Chapters

Preface

1. Getting Started FREE CHAPTER

2. Deep Learning with R

3. Convolution Neural Network

4. Data Representation Using Autoencoders

5. Generative Models in Deep Learning

6. Recurrent Neural Networks

7. Reinforcement Learning

8. Application of Deep Learning in Text Mining

9. Application of Deep Learning to Signal processing

10. Transfer Learning

Installing R with an IDE

Before we begin, let's install an IDE for R. For R the most popular IDEs are Rstudio and Jupyter. Rstudio is dedicated to R whereas Jupyter provide multi-language support including R. Jupyter also provides an interactive environment and allow you to combine code, text, and graphics into a single notebook.

Getting ready

R supports multiple operating systems such as Windows, macOS X, and Linux. The installation files for R can be downloaded from any one of the mirror sites at Comprehensive R Archive Network (CRAN) at https://cran.r-project.org/. The CRAN is also a major repository for packages in R. The programming language R is available under both 32-bit and 64-bit architectures.

How to do it...

Of r-base-dev is also highly recommended as it has many inbuilt functions. It also enables the install.packages() command, which is used to compile and install new R packages directly from the CRAN using the R console. The default R console looks as follows:

Default R console

For programming purposes, an Integrated Development Environment (IDE) is recommended as it helps enhance productivity. One of the most popular open source IDEs for R is Rstudio. Rstudio also provides you with an Rstudio server, which facilitates a web-based environment to program in R. The interface for the Rstudio IDE is shown in the following screenshot:

Rstudio Integrated Development Environment for R

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R Deep Learning Cookbook

Published in: Aug 2017

Publisher: Packt

ISBN-13: 9781787121089

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Authors (2)

PKS Prakash

PKS Prakash

Dr. PKS Prakash is a data scientist and author. He has spent the last 12 years in developing many data science solutions in several practical areas in healthcare, manufacturing, pharmaceuticals, and e-commerce. He currently works as the data science manager at ZS Associates. He is the co-founder of Warwick Analytics, a spin-off from University of Warwick, UK. Prakash has published articles widely in research areas of operational research and management, soft computing tools, and advanced algorithms in leading journals such as IEEE-Trans, EJOR, and IJPR, among others. He has edited an article on Intelligent Approaches to Complex Systems and contributed to books such as Evolutionary Computing in Advanced Manufacturing published by WILEY and Algorithms and Data Structures using R and R Deep Learning Cookbook, published by PACKT.

See other products by PKS Prakash

Sri Krishna Rao

Sri Krishna Rao

Achyutuni Sri Krishna Rao is a Data Scientist, a Civil Engineer and an Author. He has spent last 4 years in developing many data science solutions to solve problems from leading companies in healthcare, pharmaceutical and manufacturing domain. He is working as Data Science Consultant at ZS Associates. Sri Krishnas background involves a masters in Enterprise Business Analytics and Machine Learning from National University of Singapore, Singapore. His other educational background involves a Bachelors from National Institute of Technology Warangal, India. Sri Krishna has published widely in research areas of civil engineering. He has contributed in a book titled Algorithms and Data Structures using R published by PACKT.

See other products by Sri Krishna Rao

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