1. import tensorflow as tf
    2. import numpy as np
    4. from tensorflow.keras.models import Sequential
    6. model = tf.keras.Sequential([tf.keras.layers.Dense(units=1, input_shape=[1])])
    7. model.compile(optimizer='sgd', loss='mean_squared_error')
    8. xs = np.array([1.0, 2.0, 3.0, 4.0, 5.0, 6.0], dtype=float)
    9. ys = np.array([1.0, 1.5, 2.0, 2.5, 3.0, 3.5], dtype=float)
    10. model.fit(xs, ys, epochs=20)
    11. print(model.predict([7.0]))
    13. #这段代码运行正常，但是如果注释掉第4行，报错ModuleNotFoundError: No module named 'keras'，
    14. #并且第6行tf.keras.Sequential和tf.keras.models.Sequential都能正常工作