Just for comparison this is almost the same using a library [1]:

  import numpy as np
  X = np.array([ [0,0,1],[0,1,1],[1,0,1],[1,1,1]])
  y = np.array([[0,0,1,1]]).T

  from keras.models import Sequential
  from keras.layers.core import Dense

  model = Sequential([Dense(3, 1, init='uniform', activation='sigmoid')])
  model.compile(loss='mean_absolute_error', optimizer='sgd')
  model.fit(X, y, nb_epoch=10000)
  model.predict(X)

[1] http://keras.io