R Deep Learning Cookbook

Getting ready

Setting up all three packages could be quite cumbersome depending on the operating system utilized. The following dockerfile code can be used to set up an environment with tensorflow, mxnet with GPU, and h2o installed with all the dependencies:

FROM chstone/mxnet-gpu:latestMAINTAINER PKS Prakash <prakash5801># Install dependenciesRUN apt-get update && apt-get install -y python2.7  python-pip  python-dev  ipython  ipython-notebook  python-pip  default-jre# Install pip and Jupyter notebookRUN pip install --upgrade pip &&  pip install jupyter# Add R to Jupyter kernel RUN Rscript -e "install.packages(c('repr', 'IRdisplay', 'crayon', 'pbdZMQ'), dependencies=TRUE, repos='https://cran.rstudio.com')" &&  Rscript -e "library(devtools); ...