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| title: Resnet18 Cifar10 | |
| emoji: 🏃 | |
| colorFrom: red | |
| colorTo: blue | |
| sdk: gradio | |
| sdk_version: 3.39.0 | |
| app_file: app.py | |
| pinned: false | |
| license: mit | |
| This application classifies the given images into one of the ten classes in the cifar 10 dataset. It provides the sample misclasification images done by the model in the test dataset. | |
| The app also provides the option of visualizing the GradCAM (Gradient based Class activation mapping) output for model explainability. The user has the option to choose the layer | |