• Run tensorflow and Jupyter notebook server, probably continuum.io anaconda.
• Exists as docker-compose even though this is single node to make multi-node easier in future.
• Guide: tensorflow (python 3.x) https://hub.docker.com/r/tensorflow/tensorflow/

• Mounts named volume into /tf/notebooks to store files across restarts
• Mounts file share ~/Documents/GitHub into /tf/notebooks/GitHub
• The Jupyter web server is located at http://localhost:8888/
  • The url with the secret token will show up in the logs of the window you started this with
• Open shell command prompt with docker exec -it tensorflow-py3-jupyter /bin/bash
  • This may not work from a GitHub Bash prompt on Windows

See README.md in the root of this repo for interesting docker commands.

No IDE integrations specific to this project are called out at this time.