This repository provides an implementation of a neural network designed to classify handwritten digits using the MNIST dataset. MNIST is a widely-used benchmark dataset in the machine learning field, consisting of 70,000 images of handwritten digits (0 through 9), each with a resolution of 28x28 pixels.
Link to the Kaggle Notebook: https://www.kaggle.com/code/soumyadityanandy/nn-mnist