DeepLearning-MuLi-Notes

Why we included this project

Mu Li's Chinese-language lecture series on deep learning is a common starting point for beginners, and this repository collects the study materials that accompany it: Markdown notes that map to each of the roughly seventy short video lessons, plus Jupyter notebooks with commented PyTorch code. Watching a video, reading the matching explanation, and then running the model in the notebook is a much easier loop than jumping between tabs. The notes move from linear networks and multilayer perceptrons to more advanced models like ResNet, LSTM, and BERT, so a learner can follow one thread from basics to current practice. It suits students, self-taught developers, and people prepping an intro course, and works well as a quick reference when you need a concrete example of a specific architecture. It is community-maintained study material rather than production-ready software, but that is exactly what makes it useful as a learning companion.