Theoretical Insights into Neural Networks and Deep Learning: Advancing Understanding, Interpretability, and Generalization

• Main Authors: Usmani, U.A., Usmani, M.U.
• Format: Conference or Workshop Item
• Published: Institute of Electrical and Electronics Engineers Inc. 2023
• Online Access: http://scholars.utp.edu.my/id/eprint/37565/; https://www.scopus.com/inward/record.uri?eid=2-s2.0-85173043343&doi=10.1109%2fWCONF58270.2023.10235042&partnerID=40&md5=bdac334c46f1fe39a9595ff410135bf2

This work aims to provide profound insights into neural networks and deep learning, focusing on their functioning, interpretability, and generalization capabilities. It explores fundamental aspects such as network architectures, activation functions, and learning algorithms, analyzing their theoreti...