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											2020-08-13 12:00:20 +02:00
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							|  |  |  | id: 5e8f2f13c4cdbe86b5c72d96 | 
					
						
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											2021-02-06 04:42:36 +00:00
										 |  |  | title: Convolutional Neural Networks | 
					
						
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											2020-08-13 12:00:20 +02:00
										 |  |  | challengeType: 11 | 
					
						
							|  |  |  | videoId: _1kTP7uoU9E | 
					
						
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											2021-01-13 03:31:00 +01:00
										 |  |  | dashedName: convolutional-neural-networks | 
					
						
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											2020-08-13 12:00:20 +02:00
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											2020-12-16 00:37:30 -07:00
										 |  |  | # --question--
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							|  |  |  | ## --text--
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							|  |  |  | Dense neural networks analyze input on a global scale and recognize patterns in specific areas. Convolutional neural networks...: | 
					
						
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							|  |  |  | ## --answers--
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							|  |  |  | also analyze input globally and extract features from specific areas. | 
					
						
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							|  |  |  | do not work well for image classification or object detection. | 
					
						
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							|  |  |  | scan through the entire input a little at a time and learn local patterns. | 
					
						
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							|  |  |  | ## --video-solution--
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