title: CNTK create_trainer equations
body: <p>In the following CNTK create_trainer handler (in python) I am trying to understand what these two equations mean - I believe this is learning rate per  minibatch but the rest of it is not commented by Microsoft.  Does anyone understand these lr_per_mb equations and their significance?</p>
  
  <p>lr_per_mb = [1.0]*80+[0.1]*40+[0.01]</p>
  
  <p>lr_per_mb = [0.1]*1+[1.0]*80+[0.1]*40+[0.01]</p>
  
  <p>def create_trainer(network, minibatch_size, epoch_size, num_quantization_bits, block_size, warm_up, progress_printer):</p>
  
  <pre><code>if network['name'] == 'resnet20': 
      lr_per_mb = [1.0]*80+[0.1]*40+[0.01]
  elif network['name'] == 'resnet110': 
      lr_per_mb = [0.1]*1+[1.0]*80+[0.1]*40+[0.01]
  else: 
      return RuntimeError("Unknown model name!")
  </code></pre>