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title: S12 ERA Phase I | |
emoji: π | |
colorFrom: green | |
colorTo: red | |
sdk: gradio | |
sdk_version: 3.39.0 | |
app_file: app.py | |
pinned: false | |
license: mit | |
# Session 12 - ERA Phase I - Assignment | |
## Goals | |
1. Build an app on HuggingFace using a model trained on cifar10 with custom ResNet with PyTorch Lightning. | |
2. You can find the training code: https://github.com/gupta1912/ERA-V1-Assignments/tree/main/S12. | |
## Usage | |
In the App tab, the UI is present for different functionalities like: | |
1. Seeing GradCAM outputs of the model for a given convolutional layer, max 10 images. | |
2. Seeing misclassified images, max 10 images. | |
3. Uploading your own image and inferencing and looking at N's top classes on it. |