Unable to start TensorFlow within Docker, on Windows

Hope I didn’t miss anything.
I’ve installed docker on my win 7 using this guide:
https://docs.docker.com/engine/installation/
I opened a new terminal and entered the following command:

docker run -it b.gcr.io/tensorflow/tensorflow

All donwloaded and extracted and then I get the following massages:

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     addresses and not using encryption. This is not recommended. 
    [W 16:09:55.122 NotebookApp] WARNING: The notebook server is listening on all IP
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    [I 16:09:55.134 NotebookApp] Serving notebooks from local directory: /notebooks 
    [I 16:09:55.134 NotebookApp] 0 active kernels
    [I 16:09:55.134 NotebookApp] The Jupyter Notebook is running at: http://[all ip addresses on your system]:8888/ 
    [I 16:09:55.134 NotebookApp] Use Control-C to stop this server and shut down all
     kernels (twice to skip confirmation). 
    

    And then it just gets stuck like this, there’s no command line and I can’t enter anything… what am I missing?

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  • 2 Solutions collect form web for “Unable to start TensorFlow within Docker, on Windows”

    Ok, So i found a sort of an answer,
    There are two ways to solve it:
    1) Install tensorflow with source code instead, this seems to solve the problem.
    This is done by writing:
    docker run -it b.gcr.io/tensorflow/tensorflow:latest-devel
    2) Or, if you use the regular install, before installing check
    the default VM IP with:

    docker-machine ip default
    

    And then, after installtion go in the brwoser to http://(default_ip):8888/

    I had the same problem and was able to get it working by following these steps:

    $ docker-machine ip default
    

    Remember this DOCKER_IP value (copy to clipboard) in my case

    192.168.99.100
    

    Now start your TensorFlow docker container (with port forwarding):

    $ docker run -it -p 8888:8888 gcr.io/tensorflow/tensorflow
    

    Now open the web browser:

    $ open http://localhost:8888
    

    You should now see your browser with the jupyter home page

    I’m working on more notes on Getting started wtih TensorFlow here some of that is OSX specific though

    Update: I have a better understanding now so I’m updating the answer – A docker image makes certain ports available (EXPORTable) for mapping, but by default does not map them to the host machines ports when the container is run.

    We can map them to the host by using the -p option. We specify which host port (if any) the already EXPORTed port should be mapped to on the host.

    $ docker run -p $HOSTPORT:$CONTAINERPORT someimage
    
    Docker will be the best open platform for developers and sysadmins to build, ship, and run distributed applications.