asashiho/ml-jupyter-python3 repository overview

⁠TensorFlow and scikit-learn with Python3.7 via Docker

This contains Dockerfiles to make it easy to get up and running with TensorFlow and scikit-learn via Docker⁠.

⁠1. Installing Docker

General installation instructions are on the Docker site⁠, but we give some quick links here:

• OSX⁠
• Windows⁠
• Ubuntu⁠

⁠2. Running the container

⁠2.1 create a new Data directory at local

Linux/MacOS:

$ mkdir /data

Windows:

$ mkdir c:\data

⁠2.2 run a new Docker container

Linux/MacOS:

$ docker run -p 8888:8888 -p 6006:6006 -v /data:/notebooks -it --rm asashiho/ml-jupyter-python3

Windows:

$ docker run -p 8888:8888 -p 6006:6006 -v /c/data:/notebooks -it --rm asashiho/ml-jupyter-python3

This container is CPU Only.If you want to use GPU, rebuilding GPU images requires nvidia-docker⁠.

⁠3. How To Use Jupyter Notebooks

Copy/paste this URL into your browser when you connect for the first time,

to login with a token:
    http://localhost:8888/?token=<your token>