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- W3123332014 abstract "Classification accuracy and network performance are affected by many factors while classifying Image by convolution neural network. The paper takes garbage image classification as an example, the common performance optimization methods of garbage image classification by using VGGNet model were summarized. And VGG-16 was used to test the target data set of garbage image. The classification accuracy under different conditions was measured and compared. Finally, the performance of the parameters under different optimization schemes is analyzed." @default.
- W3123332014 created "2021-02-01" @default.
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- W3123332014 date "2020-11-06" @default.
- W3123332014 modified "2023-10-17" @default.
- W3123332014 title "Image classification optimization and results analysis based on VGG network" @default.
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- W3123332014 doi "https://doi.org/10.1109/iciba50161.2020.9277329" @default.
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