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

• المؤلفون الرئيسيون: Nguyen, Huu-Thiet, Li, Sitan, Cheah, Chien Chern
• مؤلفون آخرون: School of Electrical and Electronic Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2022
• الموضوعات: Engineering::Electrical and electronic engineering; Deep learning; Trust in AI; Robot Learning; Robot Vision
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/155225

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...