Public | Automated Build

Last pushed: 3 days ago
Short Description
tensorflow image with matplotlib.pyplot.imshow() enabled.
Full Description

Usage

For Linux

# Docker
$ docker run -d --name tensorflow -p 8888:8888 -p 6006:6006 -e DISPLAY=$DISPLAY -v /tmp/.X11-unix:/tmp/.X11-unix hytssk/tensorflow
# NVIDIA Docker
$ nvidia-docker run -d --name tensorflow -p 8888:8888 -p 6006:6006 -e DISPLAY=$DISPLAY -v /tmp/.X11-unix:/tmp/.X11-unix hytssk/tensorflow:gpu

For Windows(utilize MobaXTerm)

In boot2docker,

# Docker
$ docker run -d --name tensorflow -p 8888:8888 -p 6006:6006 -p 10022:22 hytssk/tensorflow

After running container,

  • Enter Session Setting of MobaXTerm
  • Edit three items
    • Remote host: 192.168.99.100
    • specify username(check): developer
    • port: 10022
  • Enter Password: developer
  • Edit Excute Command
    • export DISPLAY=`echo $SSH_CLIENT | cut -d' ' -f1`:0.0
  • Check Do not exit after commands ends
  • Enter OK
Docker Pull Command
Owner
hytssk
Source Repository