old_contents: #!/usr/bin/python
  
  import sys
  import deeplearn
  
  
  noOfSamples = deeplearn.readCsvFile("wdbc.data", 16, 3, [1])
  print str(noOfSamples) + " samples loaded"
  
  deeplearn.setErrorThresholds([1.6, 0.6, 0.6, 3.0])
  deeplearn.setLearningRate(0.2)
  deeplearn.setDropoutsPercent(0.001)
  deeplearn.setHistoryPlotInterval(50000)
  deeplearn.setPlotTitle("Cancer Classification Training")
  
  print "Training started"
  
  timeStep = 0
  while (deeplearn.training() != 0):
      timeStep = timeStep + 1
  
  print "Training Completed"
  print "Test data set performance is " + str(deeplearn.getPerformance()) + "%";
  
  deeplearn.export("result.c")
  print "Exported trained network"
  
new_contents: #!/usr/bin/python
  
  import sys
  import deeplearn
  
  
  noOfSamples = deeplearn.readCsvFile("wdbc.data", 16, 3, [1])
  print str(noOfSamples) + " samples loaded"
  
  deeplearn.setErrorThresholds([1.6, 0.6, 0.6, 3.0])
  deeplearn.setLearningRate(0.2)
  deeplearn.setDropoutsPercent(0.001)
  deeplearn.setHistoryPlotInterval(500000)
  deeplearn.setPlotTitle("Cancer Classification Training")
  
  print "Training started"
  
  timeStep = 0
  while (deeplearn.training() != 0):
      timeStep = timeStep + 1
  
  print "Training Completed"
  print "Test data set performance is " + str(deeplearn.getPerformance()) + "%";
  
  deeplearn.export("result.c")
  print "Exported trained network"
  
subject: Increase the update interval