Table 2. Neural network architecture.
| Order | Type | Filters | Kernel size | Pool size | Stride length | N units | N params |
|---|---|---|---|---|---|---|---|
| 1 | 1D convolutional | 25 | 4 | 426 | |||
| 2 | 1D convolutional | 25 | 4 | 2525 | |||
| 3 | Max pooling | 2 | 2 | ||||
| 4 | 1D convolutional | 40 | 4 | 4040 | |||
| 5 | Global avg. pooling | ||||||
| 6 | Dense | 48 | 1968 | ||||
| 7 | Dense | 32 | 1568 | ||||
| 8 | Dense | 16 | 528 | ||||
| 9 | Dense | 8 | 136 | ||||
| 10 | Dense | 3 | 27 |