Table 7.
Layer Type | Output Shape | Parameters |
---|---|---|
Conv1D | 8996 × 32 | 192 |
Batch Normalization | 8996 × 32 | 128 |
Conv1D | 4494 × 32 | 5152 |
Conv1D | 2243 × 64 | 10,304 |
Conv1D | 1117 × 64 | 20,544 |
Conv1D | 554 × 128 | 41,088 |
Conv1D | 273 × 128 | 82,048 |
Conv1D | 132 × 256 | 164,096 |
Conv1D | 62 × 256 | 327,936 |
Conv1D | 27 × 512 | 655,872 |
Conv1D | 9 × 512 | 1,311,232 |
Dense | 128 | 589,952 |
Dense | 32 | 4128 |
Dense | 4 | 132 |
Total number of network training parameters: 3,212,740 |