An Efficient CNN Model for COVID-19 Disease Detection Based on X-Ray Image Classification

Table 3

Model parameter values.

Parameter	Value
Input dimension	(150, 150, 3)
Filter to learn	64, 128, 256
Max pooling	2 × 2
Batch normalization	Axis = −1
Activation functions	ReLU, sigmoid
Dropout rate	20%
Kernel size	3 × 3
Epochs	50
Optimizer	Adam
Loss function	binary_crossentropy