#digit-classifier

This is a simple Convolutional Neural Network (CNN) project to classify handwritten digits using the MNIST dataset. The project is implemented in Python using TensorFlow and serves as a great introductory project for showcasing machine learning skills.

🔧 Features

• Train a CNN model on the MNIST dataset
• Evaluate model accuracy on test data
• Modular code with separate training, evaluation, and model definition
• Easy to run and extend