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pytorch-basics's Introduction

PyTorch Basics

This repository contains the basic PyTorch codes required for a beginner in PyTorch to get started.
Feel free to play around with the Notebooks. More modules coming soon...

✨ Demo

All the code in the repository is divided into Sections which are sequential in order. But if you have a know-how already, feel free to Jump to any section of your Choice.

Sections:

1️⃣ - Getting started with PyTorch

2️⃣ - Building a Neural Network

3️⃣ - Regression and Classification

4️⃣ - Implementing Convolutional Neural Networks

🤝 Contributing

Contributions, issues and feature requests are welcome.
Feel free to check issues page if you want to contribute.
To contribute, follow these steps:

  1. Fork this repository.
  2. Create a branch: git checkout -b <branch_name>.
  3. Make your changes and commit them: git commit -m '<commit_message>'
  4. Push to the original branch: git push --set-upstream origin <branch_name>
  5. Create the pull request.

Alternatively see the GitHub documentation on creating a pull request.

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