A layer-wise theoretical framework for deep learning of convolutional neural networks

A layer-wise theoretical framework for deep learning of convolutional neural networks

As research attention in deep learning has been focusing on pushing empirical results to a higher peak, remarkable progress has been made in the performance race of machine learning applications in the past years. Yet deep learning based on artificial neural networks still remains difficult to under...

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書目詳細資料
Main Authors:	Nguyen, Huu-Thiet, Li, Sitan, Cheah, Chien Chern
其他作者:	School of Electrical and Electronic Engineering
格式:	Article
語言:	English
出版:	2022
主題:	Engineering::Electrical and electronic engineering Deep learning Trust in AI Robot Learning Robot Vision
在線閱讀:	https://hdl.handle.net/10356/155225
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

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