MorvanZhou/PyTorch-Tutorial resource

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8465 stars · 3090 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

A collection of PyTorch tutorial code examples and Jupyter notebooks by Mofan Zhou (莫烦Python), covering neural network basics through advanced architectures like CNN, RNN, AutoEncoder, DQN, and GAN. It accompanies free Chinese-language video and text tutorials on mofanpy.com.

Use cases

• learn pytorch from scratch
• build my first neural network in pytorch
• understand cnn rnn gan with example code
• pytorch reinforcement learning dqn example
• learn batch normalization and dropout in pytorch
• chinese pytorch tutorial with videos
• example code for regression and classification in pytorch

When to choose

• you are a beginner learning PyTorch, especially with Chinese-language instruction
• you want small, runnable example scripts for common neural network architectures
• you prefer learning via video/text tutorials paired with code

When to avoid

• you need up-to-date code for the latest PyTorch APIs, as examples use older versions
• you need production-grade or well-engineered ML code
• you need comprehensive coverage of modern LLM or transformer techniques

Facets

learning-resource · maturity maintenance

machine-learning deep-learning reinforcement-learning deep-learning machine-learning tutorials reinforcement-learning python cross-platform pytorch neural-networks tutorial jupyter-notebook chinese cnn rnn gan dqn autoencoder

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