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Jul 22nd, 2017
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  1. Load LabelledData.csv
  2.  
  3. Foreach epoch
  4.  
  5. {
  6.  
  7. // Randomly split labelled data into 90% training and 10% test
  8.  
  9. // Backprop the training data
  10.  
  11. // Calculate error against test data
  12.  
  13. }
  14.  
  15. plot(epoch, error)
  16.  
  17. // Iterate number of neurons, epochs and learning rate then repeat
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