DigitClassifyNN# MNIST Digit Classification with PyTorch

This project demonstrates a simple neural network built using PyTorch for classifying handwritten digits from the MNIST dataset.

Project Structure

• data_loader.py: Contains code for loading and preprocessing the MNIST dataset.
• model.py: Defines the simple neural network model.
• train.py: Code to train the model.
• evaluate.py: Code to evaluate the trained model.
• visualize.py: (Optional) Code to visualize model predictions.
• main.py: Main entry point that ties everything together.

Results

The project will output training loss and accuracy. You can also visualize the predicted digits with their labels.