使线

Chaoxiang Chen1,2,3, Vladimir Golovko4,5, Aliaksandr Kroshchanka5

  • 1School of Information Science and Technology, Zhejiang Shuren University, Hangzhou, China.

PubMed
概括

这项研究引入了使用ReLU的受限制博尔兹曼机器 (RBM) 的自适应学习速率,自动优化神经网络步骤以获得更好的性能. 该方法的表现优于常量步骤和亚当方法在概括和减少损失方面.

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