Li Mu's deep learning notes are here!

Datawhale Dry Goods

Source: Heart of the Machine, Editor: Zhang Qian

The markdown notes correspond to the original course videos one by one, and the Jupyter code has detailed Chinese comments. This study note is worth collecting.

Early last year, the Heart of the Machine Knowledge Station launched the "Hands-on Deep Learning" series of Chinese courses by Dr. Li Mu, Amazon's senior chief scientist.The course lasted from March to August, more than 28,000 people participated in the live broadcast, and the course replay was played millions of times on station B.

This course is based on the second edition of Hands-on Deep Learning by Li Mu et al."Hands-on Deep Learning" has both open source projects and paper books. It covers important models from the 1990s to the present. In particular, each chapter is a Jupyter notebook, which provides a complete implementation of all models, with real dataRun it on for an intuitive experience.Currently, it is used for teaching by 300 universities in 55 countries around the world.The second edition added a lot of new content, such as Transformer, which has been extremely popular in recent years, and also added the implementation of Numpy/MXNet, PyTorch and TensorFlow 2.0b versions.

At the end of the course, many people said they had benefited a lot from the course, including deep learning practitioners and interdisciplinary learners, both in their early 20sOf students, there are also people in their 50s who are still trying to enrich their careers.

From these comments, it can be seen that everyone listened very carefully during the class. Many students also took notes during the course. Of course, some students may not have time to do so.Notes or haven't made the time to study the course in depth.For these students, we recently found a very suitable learning resource for you: markdown notes and related Jupyter code for this course.

Course address:https://c.d2l.ai/stanford-cs329p/p>

Note address:https://github.com/HIT-UG-Group/DeepLearning-MuLi-Notes

The two organizers of this project are from Harbin Institute of Technology. They and several other students took advantage of the winter vacation to learn the "Hands-on Deep Learning" series of Chinese courses, and organized them together.this study material.

This project features:

1. markdown notes correspond one by one with the original course video, which can help everyone understand while listening to the lecture.

2. Jupyter code has detailed Chinese comments to help everyone get started faster.

Open one of the links and we can see a detailed record and a neat layout.

At present, the number of stars of the project on GitHub has reached 1.5k, and students who need it can go to the project homepage to obtain information.

Organization is not easy, ClickLikeThree consecutive↓