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											2020-04-21 11:19:42 -04:00
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							|  |  |  | id: 5e8f2f13c4cdbe86b5c72d99 | 
					
						
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											2020-04-24 05:52:42 -05:00
										 |  |  | title: 'Convolutional Neural Networks: Evaluating the Model' | 
					
						
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											2020-04-21 11:19:42 -04:00
										 |  |  | challengeType: 11 | 
					
						
							|  |  |  | videoId: eCATNvwraXg | 
					
						
							| 
									
										
										
										
											2021-10-01 12:24:12 +08:00
										 |  |  | bilibiliIds: | 
					
						
							|  |  |  |   aid: 933030136 | 
					
						
							|  |  |  |   bvid: BV1hM4y1g7Bx | 
					
						
							|  |  |  |   cid: 409132265 | 
					
						
							| 
									
										
										
										
											2021-01-13 03:31:00 +01:00
										 |  |  | dashedName: convolutional-neural-networks-evaluating-the-model | 
					
						
							| 
									
										
										
										
											2020-04-21 11:19:42 -04:00
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											2020-11-27 19:02:05 +01:00
										 |  |  | # --question--
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							|  |  |  | ## --text--
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							|  |  |  | What is **not** a good way to increase the accuracy of a convolutional neural network? | 
					
						
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							|  |  |  | ## --answers--
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							|  |  |  | Augmenting the data you already have. | 
					
						
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							|  |  |  | --- | 
					
						
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							|  |  |  | Using a pre-trained model. | 
					
						
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							|  |  |  | --- | 
					
						
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							|  |  |  | Using your test data to retrain the model. | 
					
						
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							|  |  |  | ## --video-solution--
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							|  |  |  | 3 | 
					
						
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