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A comparative analysis among convolutional neural network models.
| Model name | Layer numbers | Parameters | Train loss | Test loss | Highest accuracy (%) | Best accuracy among models (%) |
|---|---|---|---|---|---|---|
| SVM | 2 | 83.48 | 93.18 | |||
| Sequential 1 | 15 | 1,371,241 | 0.4578 | 0.5695 | 74.24 | |
| Sequential 2 | 13 | 1,755,129 | 0.4249 | 0.4549 | 77.00 | |
| Sequential 3 | 13 | 5,614,465 | 0.1535 | 0.4235 | 84.09 | |
| ResNet50 | 60 | 24,959,754 | 0.2359 | 0.4305 | 84.39 | |
| VGG16 | 16 | 134,264,641 | 0.2603 | 0.1716 | 93.18 |
