1.0 KiB
1.0 KiB
id, title, challengeType, videoId
id | title | challengeType | videoId |
---|---|---|---|
5e8f2f13c4cdbe86b5c72da2 | Natural Language Processing With RNNs: Training the Model | 11 | hEUiK7j9UI8 |
Description
Tests
question:
text: |
Fill in the blanks below to save your model's checkpoints in the `./checkpoints` directory and call the latest checkpoint for training:
```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`
solution: 2