def create_network():
# Create the network
network = Network()
network.learning_rate = 0.1
# Pick 'LabelMax' as a labelling function, which means that when
# classifying a data instance, the label given to the instance is the one
# for which the value of the output function is the highest
network.label_function = 'la_max'
# Add units (layers) to the network:
# Input unit: no need for activation and update functions
network.add_unit( 2 )
# Hidden unit
network.add_unit( 3, 'ac_sigmoid', 'up_backpropagation' )
# Output unit
network.add_unit( 1, 'ac_sigmoid', 'up_backpropagation' )
return network
