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Updated: May 28, 2025

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在卷积网络中增加交互效应,使用泰勒多项式封闭单元

Ligeng Zou1, Qi Liu1, Jianhua Dai1

  • 1Hunan Provincial Key Laboratory of Intelligent Computing and Language Information Processing, Hunan Normal University, Changsha 410081, China; College of Information Science and Engineering, Hunan Normal University, Changsha 410081, China.

Neural networks : the official journal of the International Neural Network Society
|February 12, 2025
PubMed
概括

研究人员开发了一个新的激活函数,泰勒多项式门单元 (TPGU),用于卷积神经网络 (CNN). 在没有注意力机制的情况下,TPGU通过有效捕捉输入交互来提高模型性能.

关键词:
卷积神经网络是一种卷积神经网络.多项式激活函数的多项式激活函数泰勒的多项式是一个多项式.

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