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Update README.md

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@@ -23,6 +23,13 @@ This model classifies animals among pandas, cats and dogs. It was trained using
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  - **License:** MIT
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  - **Contact:** [email protected]
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  ### Data Preprocessing
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  The image dataset is preprocessed with the following portion:
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@@ -149,6 +156,7 @@ Now with the following the interface of the app is loaded.
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  iface.launch()
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  ```
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  ### Project Structure
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  ```bash
 
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  - **License:** MIT
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  - **Contact:** [email protected]
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+ ### Task Description:
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+ This panda_cat_dog_classification app classifies between panda, cat, or dog. So the input field is going to take input an image of one of three classes of dog, cat and panda.Then as output, it is going to show the name of the animal to which it belongs. It first processes the data and resizes it. Then custom CNN model is developed. The loss function and optimizer are calculated.
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+ After that, the custom model is trained and tested then the app is launched using gradio in Hugging Face.
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  ### Data Preprocessing
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  The image dataset is preprocessed with the following portion:
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  iface.launch()
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  ```
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+ ![image/png](https://cdn-uploads.huggingface.co/production/uploads/65b2665fee3f66b2b0f7b765/3Pqyngir14HKGd_CNVDzh.png)
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  ### Project Structure
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  ```bash