55 lines
		
	
	
		
			908 B
		
	
	
	
		
			Markdown
		
	
	
	
	
	
		
		
			
		
	
	
			55 lines
		
	
	
		
			908 B
		
	
	
	
		
			Markdown
		
	
	
	
	
	
|   | --- | ||
|  | id: 5e8f2f13c4cdbe86b5c72da2 | ||
|  | title: 'Natural Language Processing With RNNs: Training the Model' | ||
|  | challengeType: 11 | ||
|  | videoId: hEUiK7j9UI8 | ||
|  | dashedName: 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: | ||
|  | 
 | ||
|  | ```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 | ||
|  | 
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