VERY DEEP CONVOLUTIONAL NETWORKS FOR LARGE-SCALE IMAGE RECOGNITION
論文：Very Deep Convolutional Networks for Large-Scale Image Recognition 該篇文章介紹了卷積網絡深度在大規模圖像識別環境中對其準確性的影響。 它主要貢獻是使用具有非常小（3×3）卷積濾波器的體系結構對增加深度的網絡進行全面評估，這表明將深度推至16-19重量可以實現對現有技術配置的重大改進 層，它公開提供了兩個性能最佳的ConvNe
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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
- 4. VERY DEEP CONVOLUTIONAL NETWORKS FOR LARGE-SCALE IMAGE RECOGNITION
- 5. Very Deep Convolutional Networks for Large-Scale Image Recognition
- 6. VGG: VERY DEEP CONVOLUTIONAL NETWORKS FOR LARGE-SCALE IMAGE RECOGNITION
- 7. VGGNet論文翻譯—Very Deep Convolutional Networks for Large-Scale Image Recognition
- 8. VERY DEEP CONVOLUTIONAL NETWORKS FOR LARGE-SCALE IMAGE RECOGNITION論文翻譯
- 9. 盞茶論文CV篇(二) Very Deep Convolutional Networks for Large-Scale Image Recognition
- 10. [VGG論文詳解](2014)Very Deep Convolutional Networks For Large-Scale Image Recognition