x_train = np.array([cv2.imread("1small.jpg")])
y_train = np.array([14.1, 13.5, 16.3, 14.1])

x_test = np.array([cv2.imread("0small.jpg")])
y_test = np.array([11.8, 10.8, 17.0, 16.0]) # fake data just to test

model = Sequential()
model.add(Dense(1,32,32,3))
model.add(Activation('tanh'))
model.add(Dense(1))
model.compile(loss='mean_absolute_error', optimizer='rmsprop')

model.fit(x_train, y_train, nb_epoch=1, batch_size=1)

prediction = model.predict(x_test)
print prediction