Installing the Docker container with the host volume mapped

In this section, we look at how to map the local volume $(pwd)/keras-samples to the work directory in the container.

1. Execute the note -v flag command, which does the volume mapping:

docker run -d -v /$(pwd)/keras-samples:/home/jovyan/work \
 -p 8888:8888 rajdeepd/jupyter-keras start-notebook.sh --NotebookApp.token=''

If you go to the URL, you will notice the sample page being displayed.

1. If you got /$(pwd)/keras-samples, you will notice that the Notebooks are available in the host directory, and they also can be seen being loaded by Jupyter:

rdua1-ltm:keras-samples rdua$ pwd
 /Users/rdua/personal/keras-samples
 rdua1-ltm:keras-samples rdua$ ls
 MNIST CNN.ipynb sample_one.ipynb

If you open MNIST CNN.ipynb, it is a Keras CNN sample, which we will learn more about in the subsequent chapters.

In this recipe, we used the Docker image rajdeepd/jupyter-keras to create a Keras environment and access it from Jupyter running in the host environment.