freeCodeCamp/curriculum/challenges/chinese/11-machine-learning-with-python/tensorflow/natural-language-processing-with-rnns-training-the-model.md

id	title	challengeType	videoId	dashedName
5e8f2f13c4cdbe86b5c72da2	使用 RNN 进行自然语言处理：训练模型	11	hEUiK7j9UI8	natural-language-processing-with-rnns-training-the-model

--question--

--text--

填写下面的空白以将你模型的检查点保存在 ./checkpoints 目录中，并调用最新的检查点进行训练：

checkpoint_dir = __A__
checkpoint_prefix = os.path.join(checkpoint_dir, 'ckpt_{epoch}')

checkpoint_callback = tf.keras.callbacks.__B__(
    filepath=checkpoint_prefix,
    save_weights_only=True
)

history = model.fit(data, epochs=2, callbacks=[__C__])

--answers--

A: './training_checkpoints'

B: ModelCheckpoint

C: checkpoint_prefix

---

A: './checkpoints'

B: ModelCheckpoint

C: checkpoint_callback

---

A: './checkpoints'

B: BaseLogger

C: checkpoint_callback

--video-solution--

2