An Optimized Hybrid Deep Learning Model to Detect COVID-19 Misleading Information

Table 1

The parameter values have been adjusted for the proposed model.

Parameters	Values
Filter size	32, 64, 128, 256, 512, 768, 1024
Kernel size	2, 3, 4, 5
Max pooling	3, 6
LSTM unit	Range from 1 to 200
Dense unit 1	Range from 1 to 200
Dense unit 2	Range from 1 to 128
Dropout	0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9
Batch size	50, 20, 10, 73, 146, 219
Epochs	Rang from 1 to 20