/handwritten_digit_recognition

This project uses a Convolutional Neural Network (CNN) to recognize handwritten digits from the MNIST dataset. The model is built using TensorFlow and Keras.

Primary LanguageJupyter NotebookMIT LicenseMIT

Handwritten Digit Recognition

This project uses a Convolutional Neural Network (CNN) to recognize handwritten digits from the MNIST dataset. The model is built using TensorFlow and Keras.

Project Image

Getting Started

OR

  1. Clone the repository:

    git clone https://github.com/coderooz/handwritten_digit_recognition.git
cd handwritten_digit_recognition

  2. Install dependencies:

    pip install -r requirements.txt

  3. Train the model:

    python scripts/train_model.py

  4. Evaluate the model:

    python scripts/evaluate_model.py

Results

The model's accuracy on the test set will be printed after evaluation.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgements

Contact

Ranit Saha - Coderooz