(3) [ICLR15] Very deep convolutional networks for large-scale image recognition
计划完成深度学习入门的126篇论文第三篇，来自Oxford的Karen Simonyan 教授在ILSVRC比赛上取得冠军后的论文，同时也是2015年ICLR上发表的论文。同时做者本人也强调本篇是继12年Deep Convolutional Neural Networks的深刻研究。 摘要Abstract 在本文中，咱们研究了卷积网络深度在大尺度图像识别设置中对其准确率的影响。咱们
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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. VGGNet解析：VERY DEEP CONVOLUTIONAL NETWORKS FOR LARGE-SCALE IMAGE RECOGNITION
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- 10. 读文献——《Very Deep Convolutional Networks for Large-scale Image Recognition》