Very Deep Convolutional NetWorks for Large-Scale Image Recognition
论文阅读《Very Deep Convolutional NetWorks for Large-Scale Image Recognition》 介绍 这是卷积神经网络发展的一些主要网络 LeNet（3个卷积层+2个降采样层+1个全连接层）CNN雏形 AlexNet （5个卷积层+3个全连接层+1个softmax层 本文所讨论的VGG就是基于LeNet、AlexNet提出的更深的卷积神经网络
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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. 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. VERY DEEP CONVOLUTIONAL NETWORKS FOR LARGE-SCALE IMAGE RECOGNITION论文翻译
- 7. 盏茶论文CV篇(二) Very Deep Convolutional Networks for Large-Scale Image Recognition
- 8. [VGG论文详解](2014)Very Deep Convolutional Networks For Large-Scale Image Recognition
- 9. VGGNet解析：VERY DEEP CONVOLUTIONAL NETWORKS FOR LARGE-SCALE IMAGE RECOGNITION
- 10. 开坑4—VERY DEEP CONVOLUTIONAL NETWORKS FOR LARGE-SCALE IMAGE RECOGNITION（VGGNET详解）