Study on the Correlation of Trainable Parameters and Hyperparameters with the Performance of Deep Learning Models

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Study on the Correlation of Trainable Parameters and Hyperparameters with the Performance of Deep Learning Models

Trainable parameters and hyperparameters are critical to the development of a deep learning model. However, the components have typically been studied individually, and most studies have found it difficult to investigate the effects of their combination on model performance. We are interested in exa...

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Bibliographic Details
Published in:	2023 4th International Conference on Artificial Intelligence and Data Sciences: Discovering Technological Advancement in Artificial Intelligence and Data Science, AiDAS 2023 - Proceedings
Main Author:	Ong S.-Q.; Isawasan P.; Nair G.; Salleh K.A.; Yusof U.K.
Format:	Conference paper
Language:	English
Published:	Institute of Electrical and Electronics Engineers Inc. 2023
Online Access:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85176568821&doi=10.1109%2fAiDAS60501.2023.10284682&partnerID=40&md5=a781f28bb6214e4666ae3ef9ae8f18fe

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