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