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.

Getting Started

• Go to Colab File

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

• The MNIST dataset is provided by Yann LeCun.

Contact

Ranit Saha - Coderooz