Mu Li
An AI researcher and educator who formerly served as a principal scientist at Amazon AWS. He is a primary author of Dive into Deep Learning and is known for a code-first teaching style.
Timeline (last 90 days)
The CV chapters of Li Mu's team's "Dive into Deep Learning" (D2L) are of high quality, with code implemented based on PyTorch that can be run line by line, and it is continuously updated, with ViT-related chapters already added.
Dive into Deep Learning (abbreviated D2L) is an open-source textbook co-authored by Mu Li and multiple authors, providing Python code, Jupyter Notebooks, and video lectures on Bilibili.
Mu Li previously served as Chief Scientist at Amazon AWS.
This learning path recommends studying AI progressively in the order of four instructors: Andrew Ng, Hung-yi Lee, Mu Li, and Karpathy.
All Facts (4)
The CV chapters of Li Mu's team's "Dive into Deep Learning" (D2L) are of high quality, with code implemented based on PyTorch that can be run line by line, and it is continuously updated, with ViT-related chapters already added.
50%UnverifiedDive into Deep Learning (abbreviated D2L) is an open-source textbook co-authored by Mu Li and multiple authors, providing Python code, Jupyter Notebooks, and video lectures on Bilibili.
50%UnverifiedMu Li previously served as Chief Scientist at Amazon AWS.
50%UnverifiedThis learning path recommends studying AI progressively in the order of four instructors: Andrew Ng, Hung-yi Lee, Mu Li, and Karpathy.
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