2021-05-05 10:13:49 -07:00
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---
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id: 5e8f2f13c4cdbe86b5c72da2
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2021-07-16 11:03:16 +05:30
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title: '使用 RNN 進行自然語言處理：訓練模型'
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2021-05-05 10:13:49 -07:00
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challengeType: 11
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videoId: hEUiK7j9UI8
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2021-10-03 12:24:27 -07:00
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bilibiliIds:
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aid: 250542136
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bvid: BV19v411w7Fi
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cid: 409138327
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2021-05-05 10:13:49 -07:00
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dashedName: natural-language-processing-with-rnns-training-the-model
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---
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# --question--
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## --text--
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2021-07-16 11:03:16 +05:30
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填寫下面的空白以將你模型的檢查點保存在 `./checkpoints` 目錄中，並調用最新的檢查點進行訓練：
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2021-05-05 10:13:49 -07:00
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```py
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checkpoint_dir = __A__
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checkpoint_prefix = os.path.join(checkpoint_dir, 'ckpt_{epoch}')
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checkpoint_callback = tf.keras.callbacks.__B__(
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filepath=checkpoint_prefix,
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save_weights_only=True
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)
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history = model.fit(data, epochs=2, callbacks=[__C__])
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```
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## --answers--
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A: `'./training_checkpoints'`
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B: `ModelCheckpoint`
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C: `checkpoint_prefix`
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---
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A: `'./checkpoints'`
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B: `ModelCheckpoint`
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C: `checkpoint_callback`
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---
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A: `'./checkpoints'`
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B: `BaseLogger`
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C: `checkpoint_callback`
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## --video-solution--
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2
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