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Updated: Jul 9, 2025

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整合ReLU前神经网络的几何结构

Yajing Liu1, Turgay Caglar2, Christopher Peterson1

  • 1Department of Mathematics, Colorado State University, Fort Collins, CO, United States.

Frontiers in big data
|November 30, 2023
PubMed
概括

这项研究介绍了分析ReLU神经网络几何学的工具箱. 它通过检查多面分解和二进制向量属性来揭示对抗性和非对抗性数据集的独特几何性质.

关键词:
切比舍夫市中心击距离 击距离 击距离在 ReLU feedforward 神经网络中.二进制向量是指二进制向量.几何学几何学的几何学多面体分解多面体分解

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