Merge pull request #823 from sanyadureja/main

Added Project: Image Classification Using CNN (CIFAR-10 Dataset) under the Neural Networks Folder
UppuluriKalyani · Nov 8, 2024 · 0c24d30 · 0c24d30
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diff --git a/...Image Classification Using CNN (CIFAR-10)/Image_Classification_Using_CNN_(CIFAR_10).ipynb b/...Image Classification Using CNN (CIFAR-10)/Image_Classification_Using_CNN_(CIFAR_10).ipynb
diff --git a/Neural Networks/Image Classification Using CNN (CIFAR-10)/Model_Prediction.sav b/Neural Networks/Image Classification Using CNN (CIFAR-10)/Model_Prediction.sav
diff --git a/Neural Networks/Image Classification Using CNN (CIFAR-10)/README.md b/Neural Networks/Image Classification Using CNN (CIFAR-10)/README.md
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+# Image Classification Using Convolution Neural Networks 
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+<img width="659" alt="1" src="https://github.com/sanyadureja/-Image-Classification-using-Convolution-Neural-Networks-CNNs-/assets/84080312/a48be9bf-2e29-41e8-8597-394735df1092">
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+<img width="658" alt="2" src="https://github.com/sanyadureja/-Image-Classification-using-Convolution-Neural-Networks-CNNs-/assets/84080312/7ca3f7a0-7768-4440-b219-17eee1bfd8a2">
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+<img width="658" alt="3" src="https://github.com/sanyadureja/-Image-Classification-using-Convolution-Neural-Networks-CNNs-/assets/84080312/a387b507-69f3-46a8-b6c1-08d063c0e9b0">
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+## Project Structure
+- `Image_Classification_Using_CNN_(CIFAR_10).ipynb`- Contains the .ipynb file (Jupyter notebook).
+- `Model_Prediction.sav` - Contains model saved using Pickle which can be deployed in production environments where it will serve predictions based on incoming data. The Pickle format makes it easy to integrate with various frameworks, such as Flask, Django, or FastAPI.
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+## How to Run
+1. Clone the repository.
+2. Run the `.ipynb` notebook.
+3. The Model_Prediction.sav will be saved.
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