implementing-both-models-from-scratch

This project demonstrates a practical deep learning project that compares the performance of two fundamental architectures—a basic Neural Network (NN) and a Convolutional Neural Network (CNN)—on the popular Fashion MNIST dataset using PyTorch. The primary goal is to demonstrate the effectiveness of convolutional layers in image classification task