Research Article
Transfer and Deep Learning-Based Gurmukhi Handwritten Word Classification Model
Table 5
Training parameters’ results of ResNet50 at different epochs and batch sizes.
| Results | Training parameters | Epoch = 100 | Epoch = 40 | Batch size 20 | Batch size 40 | Batch size 20 | Batch size 40 |
| Training accuracy | 0.3299 | 0.3335 | 0.2503 | 0.2491 | Validation accuracy | 0.3929 | 0.4015 | 0.3031 | 0.3310 | Training loss | 2.1693 | 2.1658 | 2.4568 | 2.4608 | Validation loss | 1.9268 | 1.8842 | 2.2492 | 2.2037 |
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