Deep Learning with PyTorch Chinese is a Chinese translation and executable-code companion for the essential-excerpts edition of the official Deep Learning with PyTorch book. It introduces deep learning and PyTorch progressively for readers who do not already have machine-learning experience. Topics begin with PyTorch fundamentals and tensors before moving into representing real data, learning mechanisms, and neural-network fitting. The repository includes runnable code associated with the translated chapters. Documentation is maintained in Markdown and published through Docsify for convenient browser reading. It is intended as a compact introduction for readers with basic Python and foundational mathematics who want practical exposure to PyTorch.
Features
- Chinese translation of the official PyTorch learning material
- Runnable chapter-related PyTorch code
- Tensor and data-representation instruction
- Neural-network and learning-mechanism coverage
- Docsify-based browser documentation
- Beginner-oriented deep-learning curriculum