VERY DEEP CONVOLUTIONAL NETWORKS FOR LARGE-SCALE IMAGE RECOGNITION
这篇文章重点分析了CNN深度对于其performance的影响，并且提出3×3的filter size可以大幅提升原先的CNN performance。同时，这篇文章提出了VGG的网络架构，获得了ImageNet Challenge 2014的冠军，同时该架构在其他数据集上的泛化能力也很强。 1 ConNet Configuration 2 Classfication framework 2.1
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相关文章
- 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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- 5. Very Deep Convolutional Networks for Large-Scale Image Recognition
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