mnist-digit-classifier

Kaggle Digit Recognizer (PyTorch)

This repository contains a clean and reproducible PyTorch implementation for the Kaggle Digit Recognizer competition.

The goal of the competition is to correctly classify handwritten digits (0–9) from the MNIST dataset.

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Project Structure

• data preparation → load CSVs, reshape/normalize images, build PyTorch datasets.
• augmentation → random rotations, translations, normalization.
• model → lightweight CNN with 3 convolutional layers + dropout.
• training → training loop with validation, early stopping, and LR scheduler.
• submission → generate submission.csv for Kaggle leaderboard.

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⚙️ Setup

# clone the repository
git clone https://github.com/YOUR-USERNAME/digit-recognizer-pytorch.git
cd digit-recognizer-pytorch

# install dependencies
pip install torch torchvision pandas numpy matplotlib