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Updated: Jun 4, 2025

A Drosophila In Vivo Injury Model for Studying Neuroregeneration in the Peripheral and Central Nervous System
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RePaIR: 在初始化弹性时修复了修剪

Haocheng Zhao1, Runwei Guan1, Ka Lok Man2

  • 1Institute of Deep Perception Technology, JITRI, 214000, Wuxi, China; Department of Electrical Engineering and Electronics, University of Liverpool, L69 3BX, Liverpool, United Kingdom; Department of School of Advanced Technology, Xi'an Jiaotong-Liverpool University, 215123, Suzhou, China; XJTLU-JITRI Academy of Technology, Xi'an Jiaotong-Liverpool University, 215123, Suzhou, China.

Neural networks : the official journal of the International Neural Network Society
|January 1, 2025
PubMed
概括

本研究介绍了Repaired Initialization (ReI) 和Repaired Pruning at Initialization Resilience (RePaIR),以提高神经网络的训练效果. 这些方法通过在初始化过程中考虑重量适用性来提高模型的稳定性和准确性,特别是在修剪模型中.

关键词:
利普希茨 (Lipschitz) 是一个神经网络的神经网络在初始化时进行修剪.没有结构的修剪.

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