Basic Neural Network example with PyBrain

basic_nn.py

from pybrain.tools.shortcuts import buildNetwork
from pybrain.datasets import SupervisedDataSet
from pybrain.supervised.trainers import BackpropTrainer

net = buildNetwork(3, 1, 1, bias=False)

ds = SupervisedDataSet(3, 1)
ds.addSample((0, 0, 1), (1,))
ds.addSample((0, 1, 1), (1,))
ds.addSample((1, 0, 1), (1,))
ds.addSample((1, 1, 0), (0,))

trainer = BackpropTrainer(net, ds)
trainer.trainUntilConvergence()

print net.activate([0, 0, 1])
print net.activate([0, 1, 1])
print net.activate([1, 0, 1])
print net.activate([1, 1, 0])