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VERY DEEP CONVOLUTIONAL NETWORKS FOR LARGE-SCALE IMAGE RECOGNITION
時間 2021-01-01
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本文參考網上多個對論文的理解. 1.VGG 重要貢獻: 展示出網絡的深度是算法優良性能的關鍵部分 2.VGG網絡的改進點: a.使用了更小的3*3卷積核,和更深的網絡。兩個3*3卷積核的堆疊相對於5*5卷積核的視野,三個3*3卷積核的堆疊相當於7*7卷積核的視野。這樣一方面可以有更少的參數;另一方面擁有更多的非線性變換,增加了CNN對特徵的學習能力。 b.在VGGNet的卷積結構中,引入1*1的卷
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相關文章
1.
VGG--VERY DEEP CONVOLUTIONAL NETWORKS FOR LARGE-SCALE IMAGE RECOGNITION
2.
VGG——Very deep convolutional networks for large-scale image recognition
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