title: CNTK continue model training when using BrainScript
body: <p>I'm looking for a way of continuing training a model. My expected workflow would  be roughly:</p>
  
  <ul>
  <li>Run a first set of, say, 100 epochs of training, <code>maxEpochs=100</code> in my config file</li>
  <li>Inspect the model performance in detail</li>
  <li>If not found OK, try for 20 more epochs, by changing to <code>maxEpochs=120</code></li>
  </ul>
  
  <p>If I run CNTK like this, in the second round of training it will say "I see there's a final model already, so I conclude I'm done!"</p>
  
  <p>There is a <a href="https://github.com/Microsoft/CNTK/wiki/Continue-training-from-a-previously-saved-model" rel="nofollow noreferrer">page on the CNTK Wiki</a> about continuing training, but that seems to be inaccurate. It is not enough to copy the models to a new directory - I also need to delete the model that was "final" after the first round of training.</p>
  
  <p>And that deletion of the "final" model in round 1 is exactly what I'd like to avoid (issue caused by a workflow manager that I'm using).</p>
  
  <p>Effectively, I'm looking for a commandline/config switch to tell CNTK "Ignore the final model in the output directory. Just pretend it is not there, and continue training." Is there such a switch?</p>