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Deep Learning with PyTorch

This repository provides an example of training a simple neural network for image classification using PyTorch. The example demonstrates loading the MNIST dataset, building a model, training it, and evaluating its performance.

Table of Contents

Overview

This project demonstrates how to:

  • Use PyTorch for deep learning.
  • Build and train a simple feedforward neural network.
  • Evaluate model performance on the MNIST dataset.

Features

  • Lightweight example using the MNIST dataset.
  • Step-by-step implementation of model training and evaluation.
  • Easy-to-understand code structure for beginners.

Installation

  1. Clone the repository: 
    git clone https://github.com/sahankrt20/clone.git
cd clone