Containers and material for the Accel.ai Demystifying Deep Learning and AI Workshop July 21st - 23rd, 2017.
If you haven't used Docker before, a good place to start is the Docker User Guide.
- For those running a linux distro, you should be able to
apt-get/yum docker. - For those on OS X, you'll need to check out Docker for Mac || Docker Toolbox for Mac (Legacy)
- For those on Windows, you'll want to go to Docker for Windows || Docker for Windows 7 (Legacy)
The Miniconda3-based and Miniconda2-based images are hosted at the Docker Hub. You can grab them with:
Python 3.6.1
docker pull accelai/datascience-docker
Python 2.7.11
docker pull accelai/datascience-docker_27
The README.md in datascience-base/ and datascience-base_27 give an overview of how to use those images to run containers locally, and start a Jupyter server for Notebooks.