Table 3.

Structure of CNN.

Layer name	Filters	Kernel size	Output tensor
Convolutional layer 1	16	3×3	16×32×32
Batch normalization 1			16×32×32
Pooling layer 1			16×16×16
Convolutional layer 2	32	3×3	32×16×16
Batch normalization 2			32×16×16
Pooling layer 2			32×8×8
Convolutional layer 3	64	3×3	64×8×8
Batch normalization 3			64×8×8
Pooling layer 3			64×4×4
Convolutional layer 4	128	3×3	128×4×4
Batch normalization 4			128×4×4
Pooling layer 4			128×2×2
Dropout 1			128×2×2
Flatten layer 1			512
Dense layer 1			64
Dense layer 2			1