Open Access
Table 5
Convolutional architecture used in the DL model.
| Operation | Input size | Kernel size | Number of variables |
|---|---|---|---|
| Input | 3501 | 1 | … |
| Conv 1D | 3501 | 32 | 128 |
| MaxPool | 1750 | … | … |
| Conv 1D | 1750 | 16 | 1552 |
| MaxPool | 875 | … | … |
| Conv 1D | 875 | 8 | 392 |
| MaxPool | 437 | … | … |
| Conv 1D | 437 | 4 | 100 |
| MaxPool | 218 | … | … |
| Flatten | 872 | … | … |
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