50 lines
		
	
	
		
			800 B
		
	
	
	
		
			Markdown
		
	
	
	
	
	
		
		
			
		
	
	
			50 lines
		
	
	
		
			800 B
		
	
	
	
		
			Markdown
		
	
	
	
	
	
|   | --- | ||
|  | id: 5e8f2f13c4cdbe86b5c72d9a | ||
|  | title: 'Convolutional Neural Networks: Picking a Pretrained Model' | ||
|  | challengeType: 11 | ||
|  | videoId: h1XUt1AgIOI | ||
|  | dashedName: convolutional-neural-networks-picking-a-pretrained-model | ||
|  | --- | ||
|  | 
 | ||
|  | # --question--
 | ||
|  | 
 | ||
|  | ## --text--
 | ||
|  | 
 | ||
|  | Fill in the blanks below to use Google's pre-trained MobileNet V2 model as a base for a convolutional neural network: | ||
|  | 
 | ||
|  | ```py | ||
|  | base_model = tf.__A__.applications.__B__(input_shape=(160, 160, 3), | ||
|  |                                                include_top=__C__, | ||
|  |                                                weights='imagenet' | ||
|  |                                                ) | ||
|  | ``` | ||
|  | 
 | ||
|  | ## --answers--
 | ||
|  | 
 | ||
|  | A: `keras` | ||
|  | 
 | ||
|  | B: `MobileNetV2` | ||
|  | 
 | ||
|  | C: `False` | ||
|  | 
 | ||
|  | --- | ||
|  | 
 | ||
|  | A: `Keras` | ||
|  | 
 | ||
|  | B: `MobileNetV2` | ||
|  | 
 | ||
|  | C: `True` | ||
|  | 
 | ||
|  | --- | ||
|  | 
 | ||
|  | A: `keras` | ||
|  | 
 | ||
|  | B: `mobile_net_v2` | ||
|  | 
 | ||
|  | C: `False` | ||
|  | 
 | ||
|  | ## --video-solution--
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|  | 
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|  | 1 | ||
|  | 
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