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Going deeper with convolutions
時間 2020-12-30
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Key Problems Bigger size has two disadvantages: prone to over-fitting with less labeled data computation consuming Method The fundamental way of solving both issues would be by ultimately moving from
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相關文章
1.
Going deeper with convolutions
2.
Going Deeper with Convolutions -GoogLeNet
3.
Inception——Going deeper with convolutions
4.
Going deeper with convolutions(GoogLeNet)
5.
(4) [CVPR15] Going deeper with convolutions
6.
Going Deeper with Convolutions筆記
7.
Going Deeper with Convolutions導讀
8.
1409.GoogLeNet-Going deeper with convolutions
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GoogleNet V1 Going deeper with convolutions
10.
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