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---
title: MLAppDemo
emoji: 🚀
colorFrom: pink
colorTo: pink
sdk: gradio
sdk_version: 3.39.0
app_file: app.py
pinned: false
license: mit
---
Check out the configuration reference at https://huggingface.co./docs/hub/spaces-config-reference
# Training : This app is trained on CIFAR dataset
# Usage :
- *This app asks user to upload following category of images*
- 1. plane
2. car
3. bird
4. cat
5. deer
6. dog
7. frog
8. horse
9. ship
10. truck
- *User can also ask check top predicted classes by model as per his requirement*
- *In the output user will see predictive class by the model as well as grad cam output of it i.e what model is seeing in the input image to predict that particular class*
- *User has also the option to request the layer number from which he/she wants to check the grad cam output*
- *User can also define the opacity of the output image as per his convenience*
- *To help users 10 examples of all the classes have been given*
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