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Very Deep Convolutional NetWorks for Large-Scale Image Recognition
時間 2021-01-01
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Deep Learning
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論文閱讀《Very Deep Convolutional NetWorks for Large-Scale Image Recognition》 介紹 這是卷積神經網絡發展的一些主要網絡 LeNet(3個卷積層+2個降採樣層+1個全連接層)CNN雛形 AlexNet (5個卷積層+3個全連接層+1個softmax層 本文所討論的VGG就是基於LeNet、AlexNet提出的更深的卷積神經網絡
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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
3.
VERY DEEP CONVOLUTIONAL NETWORKS FOR LARGE-SCALE IMAGE RECOGNITION
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[VGG論文詳解](2014)Very Deep Convolutional Networks For Large-Scale Image Recognition
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VGGNet解析:VERY DEEP CONVOLUTIONAL NETWORKS FOR LARGE-SCALE IMAGE RECOGNITION
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開坑4—VERY DEEP CONVOLUTIONAL NETWORKS FOR LARGE-SCALE IMAGE RECOGNITION(VGGNET詳解)
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