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emnist-resnet-model
ntAnh-dev/emnist-resnet-model
emnist-resnet-model is a machine learning model from ntAnh-dev. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
This model is a ResNet-based CNN trained on the EMNIST Balanced dataset.
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Public
Updated Jul 14, 2025
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8.9 MB
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At a glance
- Access
- Public
- Created
- Jul 14, 2025
- Updated
- Jul 14, 2025
- SHA
- 9cda3430
Model card
From the Hugging Face model README
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.
- Created
- Jul 14, 2025
- Updated
- Jul 14, 2025