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. 2020 Nov 21;27(5):2657–2672. doi: 10.1007/s00500-020-05424-3

Table 2.

The hyper-parameters of the best-trained models (e.g., ResNet34 and HRNet) used in the proposed COVID-CheXNet system

ResNet34 model HRNet model
Hyper-parameters Values Hyper-parameters Values
Optimizer Adam Optimizer SGD
Momentum 0.95 Momentum 0.9
Weight decay 0.0005 Weight decay 0.0005
Batch size 100 Batch size 100
Dropout 0.5 Dropout 0.5
Learning rate 0.01 Learning rate 0.01
Factor 0.7 Factor 0.9
Patience 5 Patience 5
Total no. of epochs 10 Total no. of epochs 20