Table 3.
Description | Possible Values |
---|---|
Number of filters | 8, 16, 32, 64, 128 |
Kernel size | 3, 5, 7 |
Dilations | [1, 2], [1, 2, 4], [1, 2, 4, 8] |
The hyperparameter values that were selected for the trained model to make predictions on the test set are shown in bold.