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

59 lines
962 B
Markdown
Raw Permalink Normal View History

---
id: 5e8f2f13c4cdbe86b5c72da2
title: '使用 RNN 進行自然語言處理:訓練模型'
challengeType: 11
videoId: hEUiK7j9UI8
bilibiliIds:
aid: 250542136
bvid: BV19v411w7Fi
cid: 409138327
dashedName: natural-language-processing-with-rnns-training-the-model
---
# --question--
## --text--
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:
```py
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