tensorflow

dockerfile-repo

tensorflow-docker

Docker image for tensorflow

Get the image

You can get the image from the Docker Hub or you can build it with the Dockerfile

From Docker Hub

You can pull the image from the Docker Hub

$ docker pull orianna/tensorflow

Supported tags

• 1.5.0-py3.6 (tensorflow-1.5.0, python 3.6, anaconda3-5.0.1)
• 1.13.1, latest (tensorflow-1.13.1, python 3.6, anaconda3-5.2.0, add keras)

From Dockerfile

You can build it from the Dockerfile. Base image: orianna/tensorflow

$ docker build -t your-image-name:your-tag .

How to Play it

Working directory is /work. You can mount working directory to your code directory on your host. You can go to your code directory and use the following command to start the container:

$ docker run -v $(pwd):/work  -p 8888:8888 -p 6006:6006 --rm -it orianna/tensorflow

After you start your container, you can use the following command to start the Jupyter Notebook:

$ jupyter notebook --ip=0.0.0.0 --allow-root --NotebookApp.token=''

Now you can open your browser with 0.0.0.0:8888 and enjoy notebook!

You can also use tensorboard with the this command.

$ tensorboard --logdir $LOG_DIR --host 0.0.0.0