908 B
908 B
id | title | challengeType | videoId | dashedName |
---|---|---|---|---|
5e8f2f13c4cdbe86b5c72da2 | Natural Language Processing With RNNs: Training the Model | 11 | hEUiK7j9UI8 | natural-language-processing-with-rnns-training-the-model |
--question--
--text--
Fill in the blanks below to save your model's checkpoints in the ./checkpoints
directory and call the latest checkpoint for training:
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