51 lines
		
	
	
		
			654 B
		
	
	
	
		
			Markdown
		
	
	
	
	
	
		
		
			
		
	
	
			51 lines
		
	
	
		
			654 B
		
	
	
	
		
			Markdown
		
	
	
	
	
	
|   | --- | ||
|  | id: 5e8f2f13c4cdbe86b5c72d9e | ||
|  | title: 'Natural Language Processing With RNNs: Sentiment Analysis' | ||
|  | challengeType: 11 | ||
|  | videoId: lYeLtu8Nq7c | ||
|  | dashedName: natural-language-processing-with-rnns-sentiment-analysis | ||
|  | --- | ||
|  | 
 | ||
|  | # --question--
 | ||
|  | 
 | ||
|  | ## --text--
 | ||
|  | 
 | ||
|  | Fill in the blanks below to create the model for the RNN: | ||
|  | 
 | ||
|  | ```py | ||
|  | model = __A__.keras.Sequential([ | ||
|  |     __A__.keras.layers.__B__(88584, 32), | ||
|  |     __A__.keras.layers.__C__(32), | ||
|  |     __A__.keras.layers.DENSE(1, activation='sigmoid') | ||
|  | ]) | ||
|  | ``` | ||
|  | 
 | ||
|  | ## --answers--
 | ||
|  | 
 | ||
|  | A: `tensor_flow` | ||
|  | 
 | ||
|  | B: `embedding` | ||
|  | 
 | ||
|  | C: `LSTM` | ||
|  | 
 | ||
|  | --- | ||
|  | 
 | ||
|  | A: `tf` | ||
|  | 
 | ||
|  | B: `Embedding` | ||
|  | 
 | ||
|  | C: `AlphaDropout` | ||
|  | 
 | ||
|  | --- | ||
|  | 
 | ||
|  | A: `tf` | ||
|  | 
 | ||
|  | B: `Embedding` | ||
|  | 
 | ||
|  | C: `LSTM` | ||
|  | 
 | ||
|  | ## --video-solution--
 | ||
|  | 
 | ||
|  | 3 | ||
|  | 
 |