Docker/Pods/Deep Learning

For this, I used the docker image from docker hub, waleedka/modern-deep-learning.

Basics

Running the Deep Learning Container

Let's start with how we get this deep learning docker container up and running.

Start by installing Docker: Docker/Installing

Next, this deep learning container can run a Jupyter notebook server, which runs on port 8888 by default, so we'll pass the container's port 8888 through to the host machine's port 8888:

$ docker run -it -p 8888:8888 waleedka/modern-deep-learning

This is great, but unfortunately any changes we make or notebooks we create will disappear with our container, so we'll need to figure out data volumes.

For the time being, let's start by testing out the container and making sure the software components work.

Then we'll figure out a schema for data volumes, and how we get data into and out of our deep learning container.