tensorflow implement XOR

import numpy as np
import tensorflow as tf

x = np.array([[1, 0], [0, 1], [1, 1], [0, 0]])
y = np.array([[1], [1], [0], [0]])

model = tf.keras.models.Sequential([
    tf.keras.layers.Dense(32, activation='relu', input_dim=2),
    tf.keras.layers.Dense(1, activation='sigmoid')
])

model.compile(optimizer='adam',
              loss='binary_crossentropy',
              metrics=['accuracy'])

model.fit(x, y, batch_size=1, epochs=1600)
predict = model.predict(x)
print(predict)