VGG：Very Deep Convolutional Networks for Large-Scale Image Recognition閱讀筆記
論文原文：Very Deep Convolutional Networks forLarge-Scale Image Recognition網絡 網絡模型名字：VGG-1六、VGG-19函數 一、簡介 測試 2014年ImageNet亞軍。本文主要研究了卷積神經網絡深度對大尺度圖像識別精度的影響。在現有網絡結構的基礎上，不斷增長3*3卷積核，當深度增長到16-19層時，識別效果有較大提高，
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相關文章
- 1. 論文閱讀筆記--VERY DEEP CONVOLUTIONAL NETWORKS FOR LARGE-SCALE IMAGE RECOGNITION
- 2. 《Very deep convolutional networks for large-scale image recognition》閱後筆記
- 3. Deep Residual Learning for Image Recognition閱讀筆記
- 4. 論文閱讀——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. 《Very Deep Convolutional Networks for Large-Scale Image Recognition》論文閱讀
- 7. very deep convolutional networks for lorge-scale image recognition(VGG)閱讀總結
- 8. 《Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition》閱讀筆記
- 9. VGG--VERY DEEP CONVOLUTIONAL NETWORKS FOR LARGE-SCALE IMAGE RECOGNITION
- 10. VGG——Very deep convolutional networks for large-scale image recognition