Public Repository

Last pushed: a year ago
Short Description
Builds on default tensorflow repo, adds in python3 support for jupyter, adds dark theme
Full Description

As a warning, I'm just getting started with Docker, Tensorflow, Linux, and just using the terminal in general. So some of this might not follow best practices, any suggestions are welcome

Builds on

Adds in python3 and pip3, as well as ipyton3 and support for both python2 and python3 notebooks in jupyter

Uses themes for jupyter: or


01. Create default docker machine
02. Edit virtual machine through virtualbox, add in shared folder shared-dir (notebooks folder inside):
    02a. Right click 'default' machine, settings, shared folders, add new shared folder named 'shared-dir'
03. Setup VM to automount the shared-dir folder
    03a. Navigate to /mnt/sda1/var/lib/boot2docker/ using the VM's window, or using Docker Quickstart terminal and 'ssh' command
    03b. Append the following to the end of profile, using vim, vi profile
        sudo mkdir -p /home/shared-dir/
        sudo mount -t vboxsf -o uid=1000,gid=50 shared-dir /home/shared-dir/
04. Create docker container using
    docker run -p 8888:8888 -p 6006:6006 -it --name [name] -v /home/shared-dir/notebooks:/notebooks rankwinner/tensorflow_python3:latest
    04a. shared-dir/notebooks should already be mounted, if not use
        mount /home/shared-dir/notebooks:/notebooks

All of this should create a container which shares its /notebooks folder with your host machine's shared-dir/notebooks folder

Please comment with any problems or suggestions

Docker Pull Command

Comments (0)