MNIST Digit Classifier CNN

Framework: TensorFlow/Keras
Accuracy: ~99% on test set
Input Shape: 28x28x1 (grayscale)

This is a Convolutional Neural Network (CNN) trained on the MNIST dataset to classify handwritten digits (0-9).

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