pytorch_tutorial is a code repository accompanying a practical PyTorch model training textbook.
The repository provides implementation examples and code samples designed to support learning PyTorch model training through a structured tutorial format. It serves as a companion resource to a published textbook on practical PyTorch usage, offering working code that demonstrates the concepts and techniques covered in the written material.
This repository is suited for developers learning PyTorch fundamentals through a textbook-based approach who want to run and study accompanying code examples. The material covers core model training workflows and is intended for those building foundational knowledge in PyTorch development. The second edition has expanded to include deep learning application cases and inference deployment frameworks spanning computer vision, natural language processing, and large language models, along with tutorials on ONNX and TensorRT.
The project maintains an active community channel through reader discussion groups and accepts feedback and improvement suggestions via direct contact. Code corrections and refinements have been incorporated into the repository based on identified issues and clarifications needed in the tutorial material.
