VGG论文《Very Deep Convolutional Networks For Large Scale Image Recognition》总结
论文中文翻译：http://blog.csdn.net/wangsidadehao/article/details/54311282 一、文章意义 论文使用的VGG网络在ILSVRC2014图像分类比赛中获得了第二名的成绩，后来的许多网络结构也是在VGG网络的基础上进行改进，取得了很好的效果。论文主要是讨论了卷积神经网络(ConvNet)架构设计的另一个重要方面——深度，通过将深度增
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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. [VGG论文详解](2014)Very Deep Convolutional Networks For Large-Scale Image Recognition
- 5. 论文阅读：VERY DEEP CONVOLUTIONAL NETWORKS FOR LARGE-SCALE IMAGE RECOGNITION（VGG）
- 6. 【Paper Note】Very Deep Convolutional Networks for Large-Scale Image Recognition——VGG（论文理解）
- 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》翻译