Table 2.
Hyperparameter | Value |
---|---|
Image size | 501 × 334 pixels |
Fully connected layers | 1024, 128 |
Dropout ratio | 0.5 |
Learning rate | 0.0001 |
Batch size | 16 |
Loss function | MSE |
MSE = mean squared error.
Hyperparameter | Value |
---|---|
Image size | 501 × 334 pixels |
Fully connected layers | 1024, 128 |
Dropout ratio | 0.5 |
Learning rate | 0.0001 |
Batch size | 16 |
Loss function | MSE |
MSE = mean squared error.