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.
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.
- Lightweight example using the MNIST dataset.
- Step-by-step implementation of model training and evaluation.
- Easy-to-understand code structure for beginners.
- Clone the repository:
git clone https://github.com/sahankrt20/clone.git cd clone