Table 4. Initial parameters used for deep learning classifiers.
Parameter | CNN | LSTM | GRU | BERT |
---|---|---|---|---|
Dropout Rate | 0.5 | 0.5 | 0.5 | 0.5 |
Optimizer | Adam | RMS Prop | RMS Prop | Adam |
Activation Function | Relu | Relu | Relu | Relu |
No. of Features | 1,000 | 1,000 | 1,000 | 1,000 |
No. of Units | N/A | 128 | 100 | 100 |
Filter Size | 4 | N/A | N/A | N/A |