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