计算机视觉论文阅读三：Learning Discriminative Features via Label Consistent Neural Network

其他 2018-05-29 21:22:36 阅读次数: 0

摘要

作者认为，监督只作用于输出层，并没有作用于隐含层
给隐含层每个神经元一个特定的标签，只被相同标签的输入信号激活
计算每个神经元的错误差值，和类别错误差值结合这就是本论文的目标函数
减轻梯度消失和更快收敛
使得最新的隐含层输出的feature更具有分辨力
可用于视频，也可以推广到图像，很容易融合进其他网络

算法

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转载自blog.csdn.net/u013249853/article/details/79985831

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