Evaluating Adan vs. Adam: an analysis of optimizer performance in deep learning

Choosing a suitable optimization algorithm in deep learning is essential for effective model development as it significantly influences convergence speed, model performance, and the success of the train- ing process. Optimizers play an essential role in adjusting the model’s parameters to minimize e...

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Bibliographic Details

Main Authors:	Ismail, Amelia Ritahani, Azhary, Muhammad Zulhazmi Rafiqi, Hitam, Nor Azizah
Format:	Proceeding Paper
Language:	en
Published:	Springer Nature Link 2025
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://irep.iium.edu.my/120526/7/120526_Evaluating%20Adan%20vs.%20Adam.pdf http://irep.iium.edu.my/120526/ https://link.springer.com/chapter/10.1007/978-3-031-82931-4_19 https://doi.org/10.1007/978-3-031-82931-4_19
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