VERY DEEP CONVOLUTIONAL NETWORKS FOR LARGE-SCALE IMAGE RECOGNITION論文翻譯
VERY DEEP CONVOLUTIONAL NETWORKS FOR LARGE-SCALE IMAGE RECOGNITION 用於大規模圖像識別的深度卷積網絡 VGG： 1）貢獻：說明了網絡深度的重要性 2）特點： 1.使用非常小(3×3)的卷積濾波器，所有的卷積層都以相同的原則設計 2.使用1×1的卷積濾波器，這可以看作是對輸入通道的一個線性變換(其後面接一個非線性變換) 3）架構 4）
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相關文章
- 1. VGGNet論文翻譯—Very Deep Convolutional Networks for Large-Scale Image Recognition
- 2. VERY DEEP CONVOLUTIONAL NETWORKS FOR LARGE-SCALE IMAGE RECOGNITION論文翻譯
- 3. VGGNet: Very Deep Convolutional Networks For Large-Scale Image Recognition (2014) 全文翻譯
- 4. 【論文翻譯】Deep Residual Learning for Image Recognition
- 5. VGGNet論文（Very Deep Convolutional Networks for Large-Scale Image Recognition）（譯）
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- 9. VGG——Very deep convolutional networks for large-scale image recognition
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