Convolution neural network with low operation FLOPS and high accuracy for image recognition
The convolution neural network makes deeper and wider for better accuracy, but requires higher computations. When the neural network goes deeper, some information loss is more. To improve this drawback, the residual structure was developed to connect the information of the previous layers. This is a...
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Veröffentlicht in: | Journal of real-time image processing 2021-08, Vol.18 (4), p.1309-1319 |
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Format: | Artikel |
Sprache: | eng |
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