SMART OPTIMIZER SELECTION TECHNIQUE: A COMPARATIVE STUDY OF MODIFIED DENSNET201 WITH OTHER DEEP LEARNING MODELS

The rapid growth and development of AI-based applications introduce a wide range of deep and transfer learning model architectures. Selecting an optimal optimizer is still challenging to improve any classification type's performance efficiency and accuracy. This paper proposes an intelligent o...

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Bibliographic Details
Main Authors: Kamaran Manguri, Aree A. Mohammed
Format: Article
Language:English
Published: Lublin University of Technology 2023-12-01
Series:Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska
Subjects:
Online Access:https://ph.pollub.pl/index.php/iapgos/article/view/5332