VGG論文《Very Deep Convolutional Networks For Large Scale Image Recognition》總結
論文中文翻譯：http://blog.csdn.net/wangsidadehao/article/details/54311282 一、文章意義 論文使用的VGG網絡在ILSVRC2014圖像分類比賽中獲得了第二名的成績，後來的許多網絡結構也是在VGG網絡的基礎上進行改進，取得了很好的效果。論文主要是討論了卷積神經網絡(ConvNet)架構設計的另一個重要方面——深度，通過將深度增
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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. VGG: VERY DEEP CONVOLUTIONAL NETWORKS FOR LARGE-SCALE IMAGE RECOGNITION
- 4. [VGG論文詳解](2014)Very Deep Convolutional Networks For Large-Scale Image Recognition
- 5. 論文閱讀：VERY DEEP CONVOLUTIONAL NETWORKS FOR LARGE-SCALE IMAGE RECOGNITION（VGG）
- 6. 【Paper Note】Very Deep Convolutional Networks for Large-Scale Image Recognition——VGG（論文理解）
- 7. Very Deep Convolutional NetWorks for Large-Scale Image Recognition
- 8. VERY DEEP CONVOLUTIONAL NETWORKS FOR LARGE-SCALE IMAGE RECOGNITION
- 9. Very Deep Convolutional Networks for Large-Scale Image Recognition
- 10. VGG-《Very deep convolutional networks for large-scale image recognition》翻譯