Evaluating the Impact of Optimizer Hyperparameters on ResNet in Hanacaraka Character Recognition
This study evaluates the performance of various optimizers on a ResNet-18 based Convolutional Neural Network (CNN) model for the task of recognizing Hanacaraka Javanese script characters. The image dataset is divided into three sets: training, validation, and test, with image sizes of 64 × 64 pixels...
Gorde:
| Egile Nagusiak: | , , , |
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| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
De Gruyter
2025-07-01
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| Saila: | Preservation, Digital Technology & Culture |
| Gaiak: | |
| Sarrera elektronikoa: | https://doi.org/10.1515/pdtc-2024-0061 |
| Etiketak: |
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