Table 2.
Detailed information on input shape and number of parameters in proposed Enhancer-AttGRU model.
| Layer | Output Shape | Param |
|---|---|---|
| Input layer | [(DS, NS, Fs)] | 0 |
| conv1d (Conv1D)) | (None, 298, 27) | 459 |
| max_pooling1d (MaxPooling1D) | (None, 99, 27) | 0 |
| dropout (Dropout) | (None, 99, 27) | 0 |
| conv1d_1 (Conv1D) | (None, 99, 27) | 770 |
| bidirectional (Bidirectional GRU) | (None, 256) | 110,592 |
| Attention (None, 64) | (None, 256) | 0 |
| Dropout_1 (Dropout) | (None, 256) | 0 |
| Dense (Dense) | (None, 128) | 32,896 |
| Dense_1 (Dense) | (None, 64) | 8256 |
| Dense_2 (Dense) | (None, 64) | 4160 |
| Dense_3 (Dense) | (None, 16) | 1040 |
| Dense_4 (Dense) | (None, 2) | 34 |