Table 3.
Details of Hyperparameters (Left) and data augmentation (Right) used in the proposed COVID-19 detection model.
| Hyperparameters | Details |
|
|---|---|---|
| Model1 | Model2 | |
| Learning rate | 0.00007 | 0.00003 |
| Momentum | 0.8 | 0.8 |
| Batchsize | 32 | 16 |
| Epochs | 500 | 350 |
| Patience(Early Stopping) | 100 | 100 |
| Dropout | 0.2–0.5 | 0.5 |
| Optimizer | SGD | SGD |
| Momentum SGD | 0.7 | 0.8 |
| Learning rate decay | epoch/iteration | epoch/iteration |
| Data Augmentation | ||
| Re-scaling | 1/255 | 1/255 |
| Horizontal flip | Yes | Yes |
| Vertical flip | Yes | Yes |
| Rotation range | 45° | 45° |
| Width shift range | 20% | 20% |
| Height shift range | 20% | 20% |
| Shear range | 20% | 20% |
| Zoom range | 20% | 20% |