VGG——Very Deep Convolution Network for Large-Scale Image Recognition
Absract 该论文主要阐述的是深度卷积神经网络——VGGNet。 VGGNet 探索了卷积神经网络的深度与其性能之间的关系，通过反复堆叠3x3的小型卷积核和2x2的最大池化层，VGGNet 成功地构筑了16~19层深的卷积神经网络。VGGNet 相比之前 state-of-the-art 的网络结构，错误率大幅下降，并取得了 ILSVRC 2014 比赛分类项目的第2名和定位项目的第1名。同时
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- 4. 论文阅读：VERY DEEP CONVOLUTIONAL NETWORKS FOR LARGE-SCALE IMAGE RECOGNITION（VGG）
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- 8. VERY DEEP CONVOLUTIONAL NETWORKS FOR LARGE-SCALE IMAGE RECOGNITION
- 9. [VGG论文详解](2014)Very Deep Convolutional Networks For Large-Scale Image Recognition
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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
- 3. VGG——Very deep convolutional networks for large-scale image recognition
- 4. 论文阅读：VERY DEEP CONVOLUTIONAL NETWORKS FOR LARGE-SCALE IMAGE RECOGNITION（VGG）
- 5. VGG论文《Very Deep Convolutional Networks For Large Scale Image Recognition》总结
- 6. Very Deep Convolutional Networks for Large-Scale Image Recognition
- 7. VGG-《Very deep convolutional networks for large-scale image recognition》翻译
- 8. VERY DEEP CONVOLUTIONAL NETWORKS FOR LARGE-SCALE IMAGE RECOGNITION
- 9. [VGG论文详解](2014)Very Deep Convolutional Networks For Large-Scale Image Recognition
- 10. 【Paper Note】Very Deep Convolutional Networks for Large-Scale Image Recognition——VGG（论文理解）