- 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.