A Chinese-language deep-learning tutorial that selects and refines key course material, provides detailed formula derivations, and emphasizes difficult concepts to lower the learning barrier. It covers core neural architectures and includes companion code with a downloadable PDF draft.
Project overview
A Chinese-language deep-learning tutorial that selects and refines key course material, provides detailed formula derivations, and emphasizes difficult concepts to lower the learning barrier. It covers core neural architectures and includes companion code with a downloadable PDF draft.
Project type
Learning Resources
Use cases
Learning & Education
Deployment
Refer to project documentation
License
License pending
Best for
Chinese-speaking beginners entering deep learning who need accessible explanations of difficult theory and formulas.
Key capabilities
Provides refined explanations, detailed formula derivations, and additional emphasis on difficult concepts for learners entering deep learning.
Includes tutorial material on convolutional neural networks, self-attention, recurrent neural networks, and Transformers.
Provides a Homework directory containing code that accompanies the tutorial.
Makes the latest tutorial PDF available through repository releases and a domestic download mirror.
Limitations and risks
The PDF edition is the full-book draft, while the printed edition received repeated editorial revisions.
The documented CC BY-NC-SA 4.0 license restricts use of the work to non-commercial purposes and requires share-alike distribution.
Getting started
Setup difficulty, reasons, and the first success path are not documented.