from neuralnet import NeuralNet, Neuron
# neurons from First Layer
neuronA = Neuron(3, 'step')
neuronB = Neuron(3, 'step')
neuronC = Neuron(3, 'step')
# neurons from Second Layer
neuronD = Neuron(2, 'linear')
myNet = NeuralNet()
myNet.addLayer('firstLayer', [neuronA, neuronB])
myNet.addLayer('secondLayer', [neuronD])
myNet.addNeuron('firstLayer', neuronC)
print 'Amount of Layers:', myNet.countLayers()
print 'Amount of Neurons:', myNet.countNeurons()
print 'Amount of "firstLayer" Neurons:', myNet.countNeurons('firstLayer')
print 'List of Layers:', myNet.getLayerIds()
print 'Transfer Function used by the first "firstLayer" Neuron:', myNet.getNeuron(
'firstLayer', 1).getTransferFunction()
