aima/learning.py
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
Layered feed-forward network.