41 lines
		
	
	
		
			538 B
		
	
	
	
		
			Markdown
		
	
	
	
	
	
		
		
			
		
	
	
			41 lines
		
	
	
		
			538 B
		
	
	
	
		
			Markdown
		
	
	
	
	
	
|   | --- | ||
|  | id: 5e8f2f13c4cdbe86b5c72da0 | ||
|  | title: 'Natural Language Processing With RNNs: Create a Play Generator' | ||
|  | challengeType: 11 | ||
|  | videoId: j5xsxjq_Xk8 | ||
|  | dashedName: natural-language-processing-with-rnns-create-a-play-generator | ||
|  | --- | ||
|  | 
 | ||
|  | # --question--
 | ||
|  | 
 | ||
|  | ## --text--
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|  | 
 | ||
|  | Fill in the blanks below to create the training examples for the RNN: | ||
|  | 
 | ||
|  | ```py | ||
|  | char_dataset = tf.data.__A__.__B__(text_as_int) | ||
|  | ``` | ||
|  | 
 | ||
|  | ## --answers--
 | ||
|  | 
 | ||
|  | A: `DataSet` | ||
|  | 
 | ||
|  | B: `from_tensor_slices` | ||
|  | 
 | ||
|  | --- | ||
|  | 
 | ||
|  | A: `data` | ||
|  | 
 | ||
|  | B: `from_tensors` | ||
|  | 
 | ||
|  | --- | ||
|  | 
 | ||
|  | A: `DataSet` | ||
|  | 
 | ||
|  | B: `from_generator` | ||
|  | 
 | ||
|  | ## --video-solution--
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|  | 
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|  | 1 | ||
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