n2.createSynapse(1, n4)
n2.createSynapse(1, n5)
n3.createSynapse(1, n4)
n3.createSynapse(1, n5)
# Create the synapses for the first hidden layer
n4.createSynapse(2, n6)
n4.createSynapse(2, n7)
n5.createSynapse(2, n6)
n5.createSynapse(2, n7)
# Create the synapses for the second hidden layer
n6.createSynapse(3, n8)
n7.createSynapse(3, n8)
# Put the weights
n1.putWeights((0.3, 0.4))
n2.putWeights((-0.1, -0.8))
n3.putWeights((-0.25, 0.25))
n4.putWeights((1.0, 0.8))
n5.putWeights((0.7, 0.1))
n6.putWeights((0.1, ))
n7.putWeights((0.2, ))
# Insert the inputs
n1.putInput(1.0)
n2.putInput(2.0)
n3.putInput(3.0)
print colored("Output value: %r", fg="yellow") % n8.getValue()
if __name__ == "__main__":
globals.runInDebug = True
n1 = Neuron (Id=1, LayerId=0, Name="Input")
n1.setAutoNotify (True)
n2 = Neuron (Id=2, LayerId=1)
n3 = Neuron (Id=3, LayerId=1)
n4 = Neuron (Id=4, LayerId=2, Name="Output")
# Create the synapses
n1.createSynapse (1, n2)
n1.createSynapse (1, n3)
n2.createSynapse (2, n4)
n3.createSynapse (2, n4)
print "*" * 40
# Put the weights
n1.putWeights ((0.5, 0.25))
n2.putWeights ((-.75,))
n3.putWeights ((1.0,))
# Insert the inputs
n1.putInput (1.0)
print colored ("Output value: %r", fg="yellow") % n4.getValue ()
from spiral.nn.generic import Neuron
from spiral.helper import colored
if __name__ == "__main__":
globals.runInDebug = True
n1 = Neuron(Id=1, LayerId=0, Name="Input")
n1.setAutoNotify(True)
n2 = Neuron(Id=2, LayerId=1)
n3 = Neuron(Id=3, LayerId=1)
n4 = Neuron(Id=4, LayerId=2, Name="Output")
# Create the synapses
n1.createSynapse(1, n2)
n1.createSynapse(1, n3)
n2.createSynapse(2, n4)
n3.createSynapse(2, n4)
print "*" * 40
# Put the weights
n1.putWeights((0.5, 0.25))
n2.putWeights((-.75, ))
n3.putWeights((1.0, ))
# Insert the inputs
n1.putInput(1.0)
print colored("Output value: %r", fg="yellow") % n4.getValue()
