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IEEE/ICACT20210194 Slide.13
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Table highlights the first and the last fifteenth epochs with train accuracy, validation accuracy, train loss, and validation loss values of nine models. Comparing all re-trained models, model_2 used Mobile Net architecture, and pre-trained weights with 80 frozen layers yield the highest accuracy of 99.33% and 99.22% and the lowest loss of 2.32% and 2.4% rate on train and validation sets respectively. | |
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