TABLE 2.

Our Designed CNN architecture

Layers	Parameter	Total Parameters
Left branch:
Input Image	100×100
Max Pool 1	10×10
Dropout	0.1
Right branch:
Input Image	100×100
Conv 1	64 X 5 X 5, pad 0, stride 1
Leaky ReLU	alpha = 0.01
Max Pool 2a	3×3, pad 0, stride 3
Conv 2	64 X 2 X 2, pad 0, stride 1
Leaky ReLU	alpha = 0.01
Max Pool 2b	3×3, pad 0, stride 3
Dropout	0.1
Concatenate Left Branch + Right Branch		39,553
Conv 3+ReLU	64 X 2 X 2, pad 0, stride 1
Max Pool 3	2×2, pad 0, stride 2
L2 regularizer	0.01
Dropout	0.1
Fully connected 1	1 sigmoid