Table 2.
Architecture of LeNet3 and NIRNet models

Layer set	Layer	LeNet3	NIRNet
Layer set 1	Convolution 2D	20, 5 × 5, same, input	32, 3 × 1, input
	Activation	ReLU	LeakyReLU
	Max pooling	2 × 2, stride = 2 × 2	None
Layer set 2	Convolution 2D	50, 5 × 5, same	16, 9 × 1
	Activation	ReLU	LeakyReLU
	Max pooling	2 × 2, stride = 2 × 2	None
Layer set 3	Convolution 2D	50, 5 × 5, same	8, 27 × 1
	Activation	ReLU	LeakyReLU
	Max pooling	2 × 2, stride = 2 × 2	None
Layer set 4	Convolution 2D	50, 5 × 5, same	1, 1 × 1
	Activation	ReLU	LeakyReLU
	Max pooling	2 × 2, stride = 2 × 2	None
Fully connected layer	Dense	500	None
	Activation	ReLU
Output layer	Dense	5	5
	Activation	Softmax	Softmax