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FINE-TUNING RESNET50V2 WITH ADAMW AND ADAPTIVE TRANSFER LEARNING FOR SONGKET CLASSIFICATION IN LOMBOK

This study aims to develop a classification system for traditional Lombok songket fabric patterns using the ResNet50V2 architecture, optimized through fine-tuning and the AdamW optimizer. The data were collected directly from songket artisans in Lombok and categorized into three groups based on the...

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Principais autores: Erfan Wahyudi, Bahtiar Imran, Zaeniah, Surni Erniwati, Muh Nasirudin Karim, Zumratul Muahidin
פורמט: Artigo
שפה:Inglês
יצא לאור: LPPM Nusa Mandiri 2025-03-01
סדרה:Pilar Nusa Mandiri
נושאים:
data augmentation
deep learning
fine-tuning
resnet50v2
songket pattern classification
גישה מקוונת:https://ejournal.nusamandiri.ac.id/index.php/pilar/article/view/6485
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