# 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.