Table 3.
Hyperparameters for optimization using transfer learning and image dataset.
| Cell Index | Hyperparameter Definition |
|---|---|
| 1 | Loss function |
| 2 | Batch size |
| 3 | Dropout ratio |
| 4 | TL learning ratio |
| 5 | Parameters (i.e., weights) optimizer |
| 6 | Scaling technique |
| 7 | Apply data augmentation (DA) or not. |
| 8 | Rotation value (if DA is applied) |
| 9 | Width shift value (if DA is applied) |
| 10 | Height shift value (if DA is applied) |
| 11 | Shear value (if DA is applied) |
| 12 | Zoom value (if DA is applied) |
| 13 | Horizontal flipping Flag (if DA is applied) |
| 14 | Vertical flipping flag (if DA is applied) |
| 15 | Brightness changing range (if DA is applied) |