xor.ipynb

from keras.models import Model
from keras.layers import Dense, Input

x_in = Input(shape=(2,))
h1 = Dense(2, activation='relu')(x_in)
y = Dense(1, activation='linear')(h1)

model = Model(input=x_in, output=y)

model.compile(optimizer='rmsprop',
              loss='mean_squared_error')

model.fit(x=[[0,0],[0,1],[1,0],[1,1]], y=[[0],[1],[1],[0]], nb_epoch=2000) 
model.predict([[0,0],[0,1],[1,0],[1,1]])