An introductory deep learning project focused on image classification. This repository implements a multi-layer Convolutional Neural Network (CNN) to classify the 10 handwritten digits (0-9) from the MNIST dataset. The model architecture features Conv2D and MaxPooling layers, successfully achieving a test accuracy of 99.18%