{"id":15158307,"url":"https://github.com/sreeeswaran/handwritten-digit-classification","last_synced_at":"2026-02-06T18:35:50.969Z","repository":{"id":250928547,"uuid":"835885741","full_name":"SreeEswaran/Handwritten-digit-Classification","owner":"SreeEswaran","description":"This project implements a Convolutional Neural Network (CNN) to classify handwritten digits from the MNIST dataset. 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The model is built using TensorFlow and Keras.\n\n## Project Structure\n\n- `data`: Contains information on data acquisition.\n- `models`: Stores the trained models.\n- `notebooks`: Jupyter notebooks for various stages of the project.\n- `scripts`: Python scripts for data processing, model building, training, evaluation, and visualization.\n\n## Installation\n\n1. Clone the repository:\n   ```bash\n   git clone https://github.com/SreeEswaran/Handwritten-digit-Classification.git\n   cd Handwritten-digit-Classification\n   ```\n2. Create a virtual environment and activate it\n   ```bash\n   python -m venv venv\n   source venv/bin/activate    # On Windows use `venv\\Scripts\\activate`\n   ```\n3. Install the required packages:\n   ```bash\n   pip install -r requirements.txt\n   ```\n4. 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