Table 4.

Model layer hyperparameters.

Layer #	Layer Type	Hyperparameters	Output Shape
0	inputs		batch size × 400 × 6
1a	conv	no. of filters: 16	batch size × 400 × 16
		kernel size: 5
		stride: 1
		padding: same
		dilation: 1
1b	conv	no. of filters: 16	batch size × 400 × 16
		kernel size: 1
		stride: 1
		padding: same
		dilation: 1
2	conv	no. of filters: 16	batch size × 400 × 16
		kernel size: 5
		stride: 1
		padding: same
		dilation: 1
3	conv	no. of filters: 16	batch size × 400 × 16
		kernel size: 5
		stride: 1
		padding: same
		dilation: 2
4	conv	no. of filters: 16	batch size × 400 × 16
		kernel size: 5
		stride: 1
		padding: same
		dilation: 2
5	conv	no. of filters: 16	batch size × 400 × 16
		kernel size: 5
		stride: 1
		padding: same
		dilation: 4
6	conv	no. of filters: 16	batch size × 400 × 16
		kernel size: 5
		stride: 1
		padding: same
		dilation: 4
7a	dense	no. of units: 1	batch size × 400 × 1
7b	dense	no. of units: 1	batch size × 400 × 1

conv: convolutional layer.