Table 1.
Hyperparameters of gated recurrent unit, bidirectional long short-term memory, and convolutional neural network.
| Hyperparametera | GRUb | BiLSTMc | CNNd |
| Filter | —e | — | 32 |
| Kernel | — | — | 4, 6, 8 |
| Activation function (last layer) | ReLUf (Softmax) | ReLU (Softmax) | ReLU (Sigmoid) |
| Dropout | 0.5 | 0.5 | 0.5 |
| Epoch | 50 | 50 | 50 |
| Batch size | 128 | 128 | 128 |
| Loss function | categorical_crossentropy | categorical_crossentropy | binary_crossentropy |
| Optimizer/learning rate | Adam/0.0001 | Adam/0.0001 | Adam/0.0001 |
| Regularization | Batch normalization | Batch normalization | Batch normalization |
aBiLSTM: bidirectional long short-term memory.
bGRU: gated recurrent unit.
cCNN: convolutional neural network.