def NeuralNetLearner(dataset, sizes):
   """Layered feed-forward network."""

   activations = map(lambda n: [0.0 for i in range(n)], sizes)
   weights = []

   def predict(example):
      unimplemented()

   return predict
def NeuralNetLearner(dataset, sizes):
   """Layered feed-forward network."""

   activations = map(lambda n: [0.0 for i in range(n)], sizes)
   weights = []

   def predict(example):
      unimplemented()

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