This repository contains a PyTorch-based deep learning project developed to classify handwritten digits (0-9) using the standard MNIST dataset.
The project focuses on implementing a Multilayer Perceptron (MLP) from scratch while applying rigorous training and regularization methodologies to optimize performance and prevent overfitting.
All the details of the project are available in the REPORT.md file.