VGG-大规模图像识别的深度卷积网络 Very Deep Convolutional Networks for Large-Scale Image Recognition
VGG-大规模图像识别的深度卷积网络 Very Deep Convolutional Networks for Large-Scale Image Recognition Taylor Guo，2017年5月03日 星期三 摘要 本文讨论大规模图像识别中，卷积神经网络的深度对识别精度的影响。我们的主要贡献就是对增加卷积神经网络的深度进行了彻底的评估，网络架构使用了一个非常小的3×3卷积滤波器，在先
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相关文章
- 1. Very Deep Convolutional NetWorks for Large-Scale Image Recognition
- 2. Very Deep Convolutional Networks for Large-Scale Image Recognition
- 3. VERY DEEP CONVOLUTIONAL NETWORKS FOR LARGE-SCALE IMAGE RECOGNITION
- 4. VGG: VERY DEEP CONVOLUTIONAL NETWORKS FOR LARGE-SCALE IMAGE RECOGNITION
- 5. VGG——Very deep convolutional networks for large-scale image recognition
- 6. VGG--VERY DEEP CONVOLUTIONAL NETWORKS FOR LARGE-SCALE IMAGE RECOGNITION
- 7. 论文阅读——VERY DEEP CONVOLUTIONAL NETWORKS FOR LARGE-SCALE IMAGE RECOGNITION
- 8. Very Deep Convolutional Networks for Large-Scale Image Recognition-VGGNet解读
- 9. [VGG论文详解](2014)Very Deep Convolutional Networks For Large-Scale Image Recognition
- 10. 盏茶论文CV篇(二) Very Deep Convolutional Networks for Large-Scale Image Recognition