Table 3 Hyperparameter Optimization Ranges
Optimization Task | Optimization Range |
|---|---|
Number of Convolutional Blocks | 1–3 |
Number of Convolutional Filters | 10–100 |
Convolutional Filter Width | 1–20 |
Pooling Width | 1–20 |
Number of Dense Layers | 1–3 |
Nodes Within Dense Layer | 5–100 |
L2 regularization factor | 0 – 1e-4 |
Dropout Rate | 0–0.5 |
Gradient Reversal Weight | 0.001–0.2 |
Learning Rate | 1e-6–1e-3 |
