Improved weight initialization for deep and narrow feedforward neural network-Reference-Cited by-同舟云学术

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Improved weight initialization for deep and narrow feedforward neural network

Published:2024-08 Issue: Volume:176 Page:106362
ISSN:0893-6080
Container-title:Neural Networks
language:en
Short-container-title:Neural Networks

Author:

Lee Hyunwoo,Kim Yunho^ORCID,Yang Seung Yeop,Choi Hayoung^ORCID

Funder

Ministry of Education

National Research Foundation of Korea

Ministry of Education, Kenya

Ministry of Science, ICT and Future Planning

Publisher

Elsevier BV

Reference46 articles.

1. High-dimensional dynamics of generalization error in neural networks;Advani;Neural Networks,2020

2. Deep learning using rectified linear units;Agarap,2018

3. A survey on modern trainable activation functions;Apicella;Neural Networks,2021

4. The double-constant matrix, centering matrix and equicorrelation matrix: Theory and applications;B.,2021

5. Layer normalization;Ba,2016

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