L1aoXingyu/code-of-learn-deep-learning-with-pytorch resource

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

2875 stars · 1238 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Companion Jupyter Notebook code repository for the Chinese book 'Learn Deep Learning with PyTorch' (深度学习入门之PyTorch). It covers PyTorch basics, neural networks, optimizers, CNNs, and other deep learning fundamentals through runnable notebooks.

Use cases

• learn pytorch from scratch
• deep learning tutorial notebooks
• understand autograd and dynamic graphs
• implement linear and logistic regression in pytorch
• compare optimizers like sgd adam rmsprop
• build convolutional neural networks with pytorch

When to choose

• you are a beginner learning deep learning with PyTorch
• you want runnable notebook examples accompanying a structured book
• you prefer Chinese-language learning materials

When to avoid

• you need production-ready deep learning code
• you require a maintained library with a license
• you need coverage of the latest PyTorch APIs without checking for bugs

Facets

learning-resource · maturity maintenance

deep-learning machine-learning deep-learning machine-learning tutorials python cross-platform pytorch jupyter-notebooks chinese book-companion tutorials

Member repositories

For agents

markdown · JSON · MCP: product_card(name="L1aoXingyu/code-of-learn-deep-learning-with-pytorch")