TABLE 3.

CNN architecture 3

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