title: Tensorflow on Docker: How to save the work on Jupyter notebook?
body: <p>Newbie to both Docker and Tensorflow and trying them out. Installation (on win10, using hyper-v driver) went fine and I can run </p>
  
  <pre><code>docker run -p 8888:8888 -it gcr.io/tensorflow/tensorflow
  </code></pre>
  
  <p>and get output like this:</p>
  
  <pre><code>[I 23:01:01.188 NotebookApp]←(B Serving notebooks from local directory: /notebooks
  [I 23:01:01.189 NotebookApp]←(B 0 active kernels
  [I 23:01:01.189 NotebookApp]←(B The Jupyter Notebook is running at: http://[all ip addresses on your system]:8888/
  [I 23:01:01.189 NotebookApp]←(B Use Control-C to stop this server and shut down all kernels (twice to skip confirmation).
  </code></pre>
  
  <p>and I can open Jupyter notebook from browser by opening [docker host address]:8888.</p>
  
  <p>However, after doing some work (e.g., creating a new notebook), when I stop the server by Ctrl-C twice, all new work are lost. Maybe I'm missing something basic, so let me put what I'm not sure here:</p>
  
  <ol>
  <li>Am I supposed not to stop the server?</li>
  <li>I'm using the same "docker run" command when I restart. Is that correct?</li>
  </ol>
  
  <p>Thanks for your help.</p>