R packages for deep learning

Although there are a number of R packages for machine learning, there are comparatively few available for neural networks and deep learning. In this section, we will see how to install all the necessary R packages and set them up to use neural networks and deep learning.

It is helpful to have a good integrated development environment (IDE) for working with R and doing data analysis. I use Emacs, a powerful text editor, along with Emacs Speaks Statistics (ESS), which helps Emacs work nicely with R. An easy way to get up-and-running is to use a modified distribution of Emacs designed to work nicely with R and for statistics. It is created and maintained by Vincent Goulet and is freely available at http://vgoulet.act.ulaval.ca/en/emacs/ ...

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