Project Title

PyTorch-Tutorial — Comprehensive PyTorch Neural Network Tutorials in Jupyter Notebook

Overview

PyTorch-Tutorial is an open-source project that provides a comprehensive set of Jupyter Notebook tutorials for building neural networks using PyTorch. It covers a wide range of topics, from basic PyTorch operations to advanced neural network architectures. The project stands out for its detailed, step-by-step guides and its focus on making complex concepts accessible to beginners.

Key Features

In-depth tutorials on PyTorch basics, including torch and numpy, variables, and activation functions
Step-by-step guides for building your first neural network, including regression, classification, and easy ways to build networks quickly
Advanced neural network architectures, such as CNN, RNN, AutoEncoder, DQN Reinforcement Learning, A3C, and GAN
Additional topics like why torch dynamic, training on GPU, dropout, and batch normalization

Use Cases

Machine learning practitioners looking to learn and implement neural networks using PyTorch
Beginners in deep learning who need a comprehensive introduction to PyTorch and neural networks
Educators and students who require a structured learning path for PyTorch and neural network concepts

Advantages

Detailed, step-by-step tutorials that make complex concepts easy to understand
Covers a wide range of neural network architectures, from basic to advanced
Includes practical examples and code snippets for hands-on learning
Available in both English and Chinese, catering to a global audience

Limitations / Considerations

The project is primarily educational and may not include production-ready code
Some advanced topics may require additional background knowledge for full understanding
The tutorials are based on PyTorch, which may not be the best fit for all machine learning tasks

TensorFlow-Tutorial: A similar project by the same author, providing TensorFlow tutorials. It differs in that it focuses on TensorFlow instead of PyTorch.
Fast.ai: An open-source deep learning library that provides practical courses for students. It differs in its approach, offering a more top-down, practical learning experience.
Deep Learning with Python: A book by François Chollet that covers deep learning with Keras. It differs in its format, being a comprehensive book rather than a set of tutorials.

Basic Information

GitHub: https://github.com/MorvanZhou/PyTorch-Tutorial
Stars: 8,357
License: Unknown
Last Commit: 2025-10-06

📊 Project Information

Project Name: PyTorch-Tutorial
GitHub URL: https://github.com/MorvanZhou/PyTorch-Tutorial
Programming Language: Jupyter Notebook
⭐ Stars: 8,357
🍴 Forks: 3,101
📅 Created: 2017-05-05
🔄 Last Updated: 2025-10-06

🏷️ Project Topics

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🎥 Video Tutorials

Youtube channel

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PyTorch-Tutorial

Project Description