Korean Subtitles for CS231n Spring 2017
CS231n ํ๊ธ๋ฒ์ญ
Translation project of CS231n 2017 lecture video
Also see CS231n Website
Announcements
CS231n ํ๊ธ๋ฒ์ญ ํ๋ก์ ํธ์ ๋๋ค. Stanford์ CS231n๋ CNN(Convolutional Neural Network)์ ์ค์ฌ์ผ๋ก Deep Learning์ ๋ฐฐ์ฐ๋ ํ์กดํ๋ ๊ฐ์ฅ ์ข์ ๊ฐ์ ์ค ํ๋. ์ด ํ๋ก์ ํธ๋ CS231n์ ์๊ฐํ๊ธฐ์ ์ธ์ด์ ์ฅ๋ฒฝ์ผ๋ก ํ๋ ๋ถ๋ค์ ์ํ ํ๊ธ ๋ฒ์ญ ํ๋ก์ ํธ์ ๋๋ค. ๋ง์ ๋ถ๋ค์ด ์ด ๊ฐ์๋ฅผ ๋ฃ๊ณ ํ๋ณตํ์ผ๋ฉด ์ข๊ฒ ์ต๋๋ค. ํ์ง๋ง CS231n ์ ๋์ ์์ค ๊ทธ๋ฆฌ๊ณ ๊ทธ ์ด์์ ์ํด์๋ผ๋ฉด ์์ด์ค๋ ฅ์ด ๋ท๋ฐ์นจํด ์ค์ผ ํ๋ ๊ฒ์ ๋ช ๋ฐฑํ ์ฌ์ค์ ๋๋ค.
๋์ฌ ๊น์ฉ์ฅ ์ ์์ "์์ด ์ํ์ ์ ๊ณต๋ถํด์ผ ํ๋๊ฐ?
> CS231n์ ์ ๋์
1) Deep Learning์ ์ฒ์ ์ ํ๋ ์ด๊ธ์
2) Deep Learning์ ์ด๋์ ๋ ์์ง๋ง ์ฌ๋๊น๊ฒ ๋ฐฐ์ฐ๊ณ ์ถ์ ์ค๊ธ์
3) Deep Learning์ ํธ๋ ๋๋ฅผ ์ดํด ๋ณด๊ณ ์ ํ๋ ์๊ธ์
> ์์ธํ Prerequisites์ Lecture 1์ ์ฐธ๊ณ ํ์๊ธฐ ๋ฐ๋๋๋ค.
๋ง์ ๋ถ๋ค์ ๊ด์ฌ๊ณผ ๊ฒฉ๋ ค๋ก ํ๋ด๊ณ ์์ต๋๋ค. ๊ฐ์ฌํฉ๋๋ค :D
๊ทธ๋ฆฌ๊ณ ๋ํ ๋ง์ ๋ถ๋ค๊ป์ ์ค์ญ, ์คํ๊ด๋ จ Issues, Pull requests, Email ๋ฑ์
๋ณด๋ด์ฃผ์๊ณ ๊ณ์ญ๋๋ค. ํนํ ์คํ ์ฐพ๋๊ฒ ์ ๋ง ํ๋ ๋ฐ ์ด๋ ๊ฒ ๋์์ฃผ์๋ ์ ๋ง ๊ฐ์ฌํ ๋ฐ๋ฆ
์
๋๋ค :D
ํ์ฌ draft ๋ฒ์ ์ ์ค์ญ, ์คํ, ์ฑํฌ ๋ฑ ๋ฌธ์ ๊ฐ ๋ง์ต๋๋ค.
์ค์ญ, ์คํ, ์ฑํฌ ๋ฌธ์ ๋ ์ง์์ ์ผ๋ก ์
๋ฐ์ดํธํ๊ณ ์์ผ๋ฉฐ, first revision์ ์์
์ค์
๋๋ค.
first revision์ด draft๋ฒ์ ๋ณด๋ค ๋ง์ด ๊ฐ์ ๋ ๋ฒ์ ์ด๋ฏ๋ก ์ฐธ๊ณ ํด์ฃผ์๊ธฐ ๋ฐ๋๋๋ค.
๋ค์ ํ๋ฒ ๋ชจ๋์๊ฒ ๊ฐ์ฌ๋๋ฆฝ๋๋ค XD
Instructors
Fei-Fei Li: http://vision.stanford.edu/feifeili/
Justin Johnson: http://cs.stanford.edu/people/jcjohns/
Serena Yeung: http://ai.stanford.edu/~syyeung/
Prerequisites
Any video player with codecs which might be let you watch lectures
Recommendation
Windows : PotPlayer(kakao)
Linux : SM Player
IOS : Whatever you can :(
Usage
-
You should download lectures from youtube
- You need a video downloader like 4k video downloader (maybe support most of platforms like Windows, Linux(Ubuntu), MacOS)
- Download this Youtube Playlist with downloader
- If you take "4k video downloader", you can download whole lectures "at once" not "each", with Playlist.
-
and Enjoy videos with Subtitles
root โโโ eng โโโ Subtitles in English. โโโ kor โโโ Subtitles in Korean.
Update Note
Welcome to Pull Request
1. Update News
...
2018.05.23 - Complete Lecture 6(draft)
2018.06.14 - Complete Lecture 7(draft)
2018 06 26 - Complete Lecture 8(draft)
2018 07 27 - Complete Lecture 1(1st Revision)
2018 07 09 - Complete Lecture 9(draft)
2018 07 16 - Complete Lecture 2(1st Revision)
2018 07 30 - Complete Lecture 10(draft)
2018 08 13 - Complete Lecture 11(draft)
2018 09 24 - Complete Lecture 12(draft)
2018 10 06 - Complete Lecture 13(draft)
2018 12 31 - Complete Lecture 14(draft)
1. Milestone
Lecture 01 : Complete(draft + 1st Revision)
Lecture 02 : Complete(draft + 1st Revision)
Lecture 03 : Complete(draft)
Lecture 04 : Complete(draft)
Lecture 05 : Complete(draft)
Lecture 06 : Complete(draft)
Lecture 07 : Complete(draft)
Lecture 08 : Complete(draft)
Lecture 09 : Complete(draft)
Lecture 10 : Complete(draft)
Lecture 11 : Complete(draft)
Lecture 12 : Complete(draft)
Lecture 13 : Complete(draft)
Lecture 14 : Complete(draft)
Invited Talk 1 : not yet :(
Invited Talk 2 : not yet :(
Table of Contents (CS231n 2017)
Please see also
Status info
Status info | Symbol | Status info | Symbol |
---|---|---|---|
Draft | 1st_revision | ||
not yet | 2nd_revision |
Event Type | Description | Videos(youtube) | Slides | Subtitles | Status |
---|---|---|---|---|---|
Lecture 1 | Introduction to Convolutional Neural Networks for Visual Recognition | video | slide | english | |
Lecture 2 | Image Classification | video | slide | english | |
Lecture 3 | Loss Functions and Optimization | video | slide | english | |
Lecture 4 | Introduction to Neural Networks | video | slide | english | |
Lecture 5 | Convolutional Neural Networks | video | slide | english | |
Lecture 6 | Training Neural Networks I | video | slide | english | |
Lecture 7 | Training Neural Networks II | video | slide | english | |
Lecture 8 | Deep Learning Software | video | slide | english | |
Lecture 9 | CNN Architectures | video | slide | english | |
Lecture 10 | Recurrent Neural Networks | video | slide | english | |
Lecture 11 | Detection and Segmentation | video | slide | english | |
Lecture 12 | Visualizing and Understanding | video | slide | english | |
Lecture 13 | Generative Models | video | slide | english | |
Lecture 14 | Deep Reinforcement Learning | video | slide | english | |
Guest Lecture | Invited Talk: Song Han Efficient Methods and Hardware for Deep Learning |
video | slide | english [korean] |
|
Guest Lecture | Invited Talk: Ian Goodfellow Adversarial Examples and Adversarial Training |
video | slide | english [korean] |
Screenshot
Contributors
- Jaewon Lee (Image Processing & Computer Vision Lab, KNU)
- Azure (Image Processing & Computer Vision Lab, KNU)
LICENSE
MIT