code: def NeuralNetLearner(dataset, sizes):
     
  
     activations = map(lambda n: [0.0 for i in range(n)], sizes)
     weights = []
  
     def predict(example):
        unimplemented()
  
     return predict
docs: Layered feed-forward network.