Install Tensorflow on Windows Docker installation

I am trying to install Tensorflow on my Windows PC using the Docker intallation ( After the installation of Docker, I have followed these instructions: .

Everything works well ultil the last step: when I type the instruction

  • Amazon S3 + Docker - “403 Forbidden: The difference between the request time and the current time is too large”
  • Running and configuring mqtt broker with docker composer
  • Haskell Yesod stack build runnable file
  • Problems running npm install during docker-compose build
  • Error when running SparkApp from docker container against Spark running in another container
  • Linux machine with docker deploy windows container
  • docker run -it

    I obtain the following output:

    [I 10:10:57.073 NotebookApp] Writing notebook server
    [W 10:10:57.104 NotebookApp] WARNING: The notebook s
     addresses and not using encryption. This is not rec
    [W 10:10:57.105 NotebookApp] WARNING: The notebook s
     addresses and not using authentication. This is hig
    [I 10:10:57.110 NotebookApp] Serving notebooks from
    [I 10:10:57.110 NotebookApp] 0 active kernels
    [I 10:10:57.111 NotebookApp] The Jupyter Notebook is
    addresses on your system]:8888/
    [I 10:10:57.111 NotebookApp] Use Control-C to stop t
     kernels (twice to skip confirmation).

    I obtain the same message typing the command line both in the docker terminal and in the command window. Nothing else happens, and I am obliged to use Control-C to stop.

    I have tryed to run also the IMAGE ID of and I obtain exactly the same thing.

    Any idea of what is happening?

    Thank you very much!

  • Custom Installer for Unix Platform to install Python, Java, MySQL
  • port number not change for docker-compose
  • Why is APCu segfaulting inside a Docker container?
  • cronjob not executed on docker swarm deployment
  • Docker with `/bin/bash -c` running mysql deamon
  • Kubernetes: Dynamically create configuration json files from j2 templates
  • One Solution collect form web for “Install Tensorflow on Windows Docker installation”

    From the log messages I can see, it looks like the Docker image has changed since this tutorial was written, so that it now starts a Jupyter (IPython) server in the container. To actually use this, you will need to configure port forwarding to your Windows host, using a command like:

    $ docker run -it -p 8888:8888

    From your comment, it looks like this command does not succeed because something is already listening on port 8888 on your computer. If you can’t stop whatever is already listening on port 8888, you could try a different port (e.g. 8080) as follows:

    $ docker run -it -p 8080:8888

    …then connect a web browser to

    Docker will be the best open platform for developers and sysadmins to build, ship, and run distributed applications.