def _connect (self, layers) :
weights = self._initial_weights()
for input_layer, output_layer in paired(layers) :
connection = nlplib.core.model.Connection(self.structure)
width = len(input_layer)
height = len(output_layer)
connection._weights = Matrix(tuple(next(weights, 0.0) for _ in range(width))
for _ in range(height))
def __iter__ (self) :
for (input_layer, output_layer), connection in zip(paired(self.layers), self.connections) :
yield (input_layer, connection, output_layer)
