class NeuralNetwork(object):

    ...

    def predict(self, x):
        layer1 = sigmoid(np.dot(x, self.weights1))
        output = sigmoid(np.dot(layer1, self.weights2))
        return output

x_seen = np.array([1, 1, 0])
print(nn.predict(x_seen))
# [0.01162975]

x_unseen = np.array()
print(nn.predict(x_unseen))
# [0.84968032]