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深度学习分类网络 -- ZFNet
2022-07-06 12:13:00 【有时候。】
前言
ZFNet这篇论文中的motivation有两点:
- 深度神经网络为什么表现好?
- 如何改进网络?
作者通过Deconvnet来可视化深度神经网络各层的特征图,并据此来针对性地对AlexNet进行改进,取得了2013年ImageNet分类挑战赛的冠军。
1. 网络结构
在可视化特征图的基础上,作者对ALexNet做了两处修改:
- 第一个卷积的尺寸由11×11改为7×7
- 第一个卷积的stride由4改为2
当然,作者这样修改不是凭空臆造,而是有据可依的,而这个依据就是特征图的可视化结果。
2. 要点
Deconvnet可视化方法
网络各层特征特点
网络各层特征学习过程
根据特征可视化改进网络结构
特征不变性
遮挡敏感性
参考资料
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