Deep-Learning-with-PyTorch-Tutorials

Why we included this project

This repository collects the slides and runnable code that accompany a Chinese-language video course on deep learning with PyTorch. Because the material follows a real lecture sequence, learners can clone the repo and code along as they watch, which suits people who pick things up by modifying working examples more than by reading a reference manual. The setup notes cover installing PyTorch with CUDA and the usual data libraries, so newcomers can get a working environment before they tackle the models. The code walks through concrete implementations like CNNs, RNNs, and GANs. Since the course is taught in Chinese, the material is most practical for readers comfortable with Chinese, either as a structured self-study path or as a base for a teaching team building a similar curriculum.