DaizeDong/Stanford-CS231n-2021-and-2022

Notes and slides for Stanford CS231n 2021 & 2022 in English. I merged the contents together to get a better version. Assignments are not included. 斯坦福cs231n的课程笔记(英文版本,不含实验代码),将2021与2022两年的课程进行了合并,分享以供交流。

29
/ 100
Experimental

This resource provides comprehensive English notes and slides from Stanford University's CS231n Deep Learning for Computer Vision courses (2021 and 2022 editions combined). It condenses lecture content into an organized format, offering a textual and visual learning aid for understanding core concepts in computer vision. It is ideal for students, researchers, or anyone seeking to self-study advanced computer vision topics.

No commits in the last 6 months.

Use this if you want a consolidated, well-structured set of English notes and slides to learn or review fundamental and advanced concepts in deep learning for computer vision.

Not ideal if you are looking for assignments, programming exercises, or video lectures, as this resource focuses exclusively on written notes and slides.

deep-learning-education computer-vision-training academic-self-study artificial-intelligence-curriculum machine-learning-reference
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 7 / 25
Maturity 8 / 25
Community 14 / 25

How are scores calculated?

Stars

27

Forks

5

Language

License

Last pushed

Sep 30, 2022

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/DaizeDong/Stanford-CS231n-2021-and-2022"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.