mnist-digit-classifier
This project builds a Deep Learning model using TensorFlow and Keras to classify handwritten digits from the MNIST dataset. The model learns to recognize digits (0–9) from 28x28 grayscale images.
It demonstrates a complete deep learning workflow including data loading, preprocessing, model building, training, and evaluation.
Dataset: MNIST Handwritten Digits
- 60,000 training images
- 10,000 testing images
- Image size: 28x28 grayscale
- Classes: Digits 0 to 9
Dataset is loaded directly using Keras: