Table 2. Deep neural model training/validation accuracy/loss.
| Epoch | Train. accuracy (%) | Train. loss | Valid. accuracy (%) | Valid. loss |
|---|---|---|---|---|
| 1 | 50.0 | 1.97 | 45.0 | 7.97 |
| 2 | 55.0 | 1.91 | 48.0 | 6.89 |
| 3 | 57.0 | 1.90 | 51.0 | 6.05 |
| 4 | 63.0 | 0.89 | 59.0 | 5.98 |
| 5 | 66.0 | 0.88 | 58.0 | 5.56 |
| 6 | 69.8 | 0.82 | 64.0 | 4.99 |
| 7 | 70.5 | 0.79 | 67.0 | 4.98 |
| 8 | 71.0 | 0.77 | 71.0 | 4.85 |
| 9 | 75.0 | 0.75 | 74.0 | 4.81 |
| 10 | 75.0 | 0.78 | 78.0 | 3.90 |
| 11 | 78.0 | 0.71 | 79.0 | 3.51 |
| 12 | 78.9 | 0.70 | 78.0 | 3.01 |
| 13 | 79.0 | 0.60 | 80.1 | 2.70 |
| 14 | 80.2 | 0.56 | 84.0 | 2.21 |
| 15 | 84.0 | 0.51 | 85.0 | 2.09 |
| 16 | 86.0 | 0.42 | 87.0 | 1.80 |
| 17 | 87.0 | 0.26 | 92.0 | 1.30 |
| 18 | 89.0 | 0.10 | 91.0 | 0.80 |
| 19 | 91.0 | 0.16 | 94.0 | 0.70 |
| 20 | 94.0 | 0.01 | 97.1 | 0.50 |