Table 1.

Layers of convolutional neural networks.

Index	Layer	Output Shape	Setting
0	Input	(60,4)
1	Dropout		0.1
2	1D-Conv	(58,50)	ReLU
3	1D-Conv	(56,50)	ReLU
4	MaxPool	(28,50)
5	1D-Conv	(26,100)	ReLU
6	1D-Conv	(24,100)	ReLU
7	Flatten	2400	ReLU
8	Dense	100	ReLU
9	Dense	3	Linear