| # EMNIST ResNet Model | |
| This model is a ResNet-based CNN trained on the EMNIST Balanced dataset. | |
| ## Evaluation Metrics | |
| - Test Accuracy: 88.47% | |
| - Test Loss: 0.3291 | |
| ## Training Details | |
| - Epochs: 7 | |
| - Best Validation Accuracy: 88.47% | |
| ## Confusion Matrix | |
| You can generate and visualize the confusion matrix with the provided notebook. | |