VERY DEEP CONVOLUTIONAL NETWORKS FOR LARGE-SCALE IMAGE RECOGNITION 網絡主要部分梳理和網絡應用
一.模型介紹 成果出處和主要成果 《Very Deep Convolutional Networks For Large-Scale Image Recognition》文章出自牛津大學Robotics ReSearch Group團隊，在2014ILSVRC (ImageNet Large Scale Visual Recognition Competition)競賽中團隊在localisati
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相關文章
- 1. Very Deep Convolutional NetWorks for Large-Scale Image Recognition
- 2. VGG: VERY DEEP CONVOLUTIONAL NETWORKS FOR LARGE-SCALE IMAGE RECOGNITION
- 3. Very Deep Convolutional Networks for Large-Scale Image Recognition
- 4. 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. 經典網絡結構VGG-net《Very Deep Convolutional Networks for Large-Scale Image Recognition》
- 8. 開坑4—VERY DEEP CONVOLUTIONAL NETWORKS FOR LARGE-SCALE IMAGE RECOGNITION（VGGNET詳解）
- 9. 殘差網絡：Deep Residual Learning for Image Recognition
- 10. 論文閱讀——VERY DEEP CONVOLUTIONAL NETWORKS FOR LARGE-SCALE IMAGE RECOGNITION