Research Article
Mango Grading System Based on Optimized Convolutional Neural Network
Table 3
Different batch size and epoch parameters on training results.
| Experiment number | Batch size | Iterations | Epoch | Accuracy (%) | Top1 error | Loss | Running time (s) |
| 1 | 12 | 560 | 80 | 88.2 | 0.118 | 0.44 | 56 | 2 | 700 | 100 | 70.6 | 0.294 | 0.79 | 63 | 3 | 360 | 120 | 84.4 | 0.124 | 0.58 | 76 | 4 | 16 | 480 | 80 | 80.0 | 0.210 | 1.377 | 56 | 5 | 600 | 100 | 86.7 | 0.113 | 0.443 | 70 | 6 | 720 | 120 | 95.8 | 0.059 | 0.441 | 73 | 7 | 20 | 400 | 80 | 76.5 | 0.235 | 1.416 | 68 | 8 | 500 | 100 | 86.7 | 0.113 | 0.444 | 74 | 9 | 600 | 120 | 80.2 | 0.220 | 1.416 | 84 |
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