This repository contains a Jupyter Notebook implementing a hand digit recognition model using the MNIST dataset. The MNIST dataset consists of 28x28 pixel grayscale images of handwritten digits (0 through 9) and is a common benchmark for testing image processing systems.
- Python (>=3.6)
- Jupyter Notebook
- Clone the repository:
git clone https://github.com/harshssn23/hand-digit-recognition.git cd hand-digit-recognition