CV

Why we included this project

This repository collects deep learning study notes in Chinese, organized around four well-known course series: 土堆's Pytorch tutorial, Li Mu's 'Hands-On Deep Learning', Andrew Ng's deep learning specialization, and a lecture set on large-model agents. The notes are numbered to match each video lesson, so you can follow along lecture by lecture and jump back to a specific topic when you need it. The author also shares the datasets used in the courses and runs community chat groups where self-taught learners can ask questions or find study partners. It is a reference to read rather than software to run, but for anyone new to deep learning, or brushing up on computer vision, NLP, or large-model topics, one curated set of notes tied to proven courses saves a lot of time。