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.
