keras_test.py

import numpy as np
from keras.models import Sequential
from keras.layers.core import Dense, Activation

xoder={
 (0,0):0,
 (0,1):1,
 (1,0):1,
 (1,1):0
 }

X=input=np.array([[0,0],[0,1],[1,0],[1,1]])
Y=output=np.array([[1,0],[0,1],[0,1],[1,0]]) 

model = Sequential()
model.add(Dense(10, input_shape=(2,)))
model.add(Activation('relu'))
model.add(Dense(40))
model.add(Activation('relu'))
model.add(Dense(2))
model.add(Activation('softmax'))
model.compile(loss='categorical_crossentropy', optimizer='adam',metrics=['acc'])

model.fit(input,output,epochs=200)

result=model.predict(np.array([[0,1]]))
print(result)
print(np.argmax(result))