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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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
LPPM Nusa Mandiri
2025-03-01
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| Series: | Pilar Nusa Mandiri |
| Subjects: | |
| Online Access: | https://ejournal.nusamandiri.ac.id/index.php/pilar/article/view/6485 |
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