very deep convolutional networks for lorge-scale image recognition(VGG)阅读总结
文章目录 1 网络结构及对比 2 创新点 2.1 小的卷积核 2.2 多尺度进行训练和测试 3 网络的训练和评估 3.1 参数 3.2 训练和测试 3.3 评估 4 结论 1 网络结构及对比 A → E：网络层从11到19层 A → A-LPN：添加了反应归一化层没有改善 B：增加了卷积层数 C: 添加了1×1的卷积层，相当于加入了非线性层（Relu） D：将1×1换成3×3说明肥牛盖饭的感受野表
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相关文章
- 1. Very Deep Convolutional NetWorks for Large-Scale Image Recognition
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- 3. VGG——Very deep convolutional networks for large-scale image recognition
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