Handwritten Digit Recognition using Deep Learning (MNIST Classificati

I developed a deep learning model using TensorFlow/Keras to classify handwritten digits from the MNIST dataset. The project demonstrates image classification using a neural network with high accuracy.

The model is trained on 60,000 images and tested on 10,000 images, achieving strong performance through proper preprocessing and training techniques.