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最浅的透明和可解释的深度神经网络用于图像识别.

Gurmail Singh1, Stefano Frizzo Stefenon2, Kin-Choong Yow3

  • 1Department of Computer Sciences, University of Wisconsin-Madison, Madison, WI, 53706, USA. gurmail.singh@wisc.edu.

Scientific reports
|April 22, 2025
PubMed
概括

一个新的透明的深度学习模型,Shallow-ProtoPNet,提供可解释的决策,没有黑子组件. 它的浅,两层设计确保更小的尺寸和适合嵌入式系统.

关键词:
深度学习是一种深度学习.图像的分类图像的分类.可解释模型可以解释模型.网络部分的原型网络部分.

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