A theoretical framework for end-to-end learning of deep neural networks with applications to robotics

• Main Authors: Li, Sitan, Nguyen, Huu-Thiet, Cheah, Chien Chern
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2023
• Subjects: Engineering::Electrical and electronic engineering; Deep Neural Networks; Online Learning
• Online Access: https://hdl.handle.net/10356/168831
• Institution: Nanyang Technological University

Deep Learning (DL) systems are difficult to analyze and proving convergence of DL algorithms like backpropagation is an extremely challenging task as it is a highly non-convex and high-dimensional problem. When using DL algorithms in robotic systems, theoretical analysis of stability, convergence, a...