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Repository Details

CS231N 2017 video subtitles translation project for Korean Computer Science students

Korean Subtitles for CS231n Spring 2017

CS231n ํ•œ๊ธ€๋ฒˆ์—ญ

Translation project of CS231n 2017 lecture video
Also see CS231n Website


Announcements

CS231n ํ•œ๊ธ€๋ฒˆ์—ญ ํ”„๋กœ์ ํŠธ์ž…๋‹ˆ๋‹ค. Stanford์˜ CS231n๋Š” CNN(Convolutional Neural Network)์„ ์ค‘์‹ฌ์œผ๋กœ Deep Learning์„ ๋ฐฐ์šฐ๋Š” ํ˜„์กดํ•˜๋Š” ๊ฐ€์žฅ ์ข‹์€ ๊ฐ•์˜ ์ค‘ ํ•˜๋‚˜. ์ด ํ”„๋กœ์ ํŠธ๋Š” CS231n์„ ์ˆ˜๊ฐ•ํ•˜๊ธฐ์— ์–ธ์–ด์˜ ์žฅ๋ฒฝ์œผ๋กœ ํž˜๋“  ๋ถ„๋“ค์„ ์œ„ํ•œ ํ•œ๊ธ€ ๋ฒˆ์—ญ ํ”„๋กœ์ ํŠธ์ž…๋‹ˆ๋‹ค. ๋งŽ์€ ๋ถ„๋“ค์ด ์ด ๊ฐ•์˜๋ฅผ ๋“ฃ๊ณ  ํ–‰๋ณตํ–ˆ์œผ๋ฉด ์ข‹๊ฒ ์Šต๋‹ˆ๋‹ค. ํ•˜์ง€๋งŒ CS231n ์ •๋„์˜ ์ˆ˜์ค€ ๊ทธ๋ฆฌ๊ณ  ๊ทธ ์ด์ƒ์„ ์œ„ํ•ด์„œ๋ผ๋ฉด ์˜์–ด์‹ค๋ ฅ์ด ๋’ท๋ฐ›์นจํ•ด ์ค˜์•ผ ํ•˜๋Š” ๊ฒƒ์€ ๋ช…๋ฐฑํ•œ ์‚ฌ์‹ค์ž…๋‹ˆ๋‹ค.
๋„์˜ฌ ๊น€์šฉ์˜ฅ ์„ ์ƒ์˜ "์˜์–ด ์ˆ˜ํ•™์„ ์™œ ๊ณต๋ถ€ํ•ด์•ผ ํ•˜๋Š”๊ฐ€?

> CS231n์— ์˜ ๋Œ€์ƒ
1) Deep Learning์„ ์ฒ˜์Œ ์ ‘ํ•˜๋Š” ์ดˆ๊ธ‰์ž
2) Deep Learning์„ ์–ด๋Š์ •๋„ ์•Œ์ง€๋งŒ ์‹ฌ๋„๊นŠ๊ฒŒ ๋ฐฐ์šฐ๊ณ  ์‹ถ์€ ์ค‘๊ธ‰์ž
3) Deep Learning์˜ ํŠธ๋ Œ๋“œ๋ฅผ ์‚ดํŽด ๋ณด๊ณ ์ž ํ•˜๋Š” ์ƒ๊ธ‰์ž 

> ์ž์„ธํ•œ Prerequisites์€ Lecture 1์„ ์ฐธ๊ณ ํ•˜์‹œ๊ธฐ ๋ฐ”๋ž๋‹ˆ๋‹ค. 

๋งŽ์€ ๋ถ„๋“ค์˜ ๊ด€์‹ฌ๊ณผ ๊ฒฉ๋ ค๋กœ ํž˜๋‚ด๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ๊ฐ์‚ฌํ•ฉ๋‹ˆ๋‹ค :D
๊ทธ๋ฆฌ๊ณ  ๋˜ํ•œ ๋งŽ์€ ๋ถ„๋“ค๊ป˜์„œ ์˜ค์—ญ, ์˜คํƒ€๊ด€๋ จ Issues, Pull requests, Email ๋“ฑ์„ 
๋ณด๋‚ด์ฃผ์‹œ๊ณ  ๊ณ„์‹ญ๋‹ˆ๋‹ค. ํŠนํžˆ ์˜คํƒ€ ์ฐพ๋Š”๊ฒŒ ์ •๋ง ํž˜๋“ ๋ฐ ์ด๋ ‡๊ฒŒ ๋„์™€์ฃผ์‹œ๋‹ˆ ์ •๋ง ๊ฐ์‚ฌํ•  ๋”ฐ๋ฆ…์ž…๋‹ˆ๋‹ค :D 

ํ˜„์žฌ draft ๋ฒ„์ „์€ ์˜ค์—ญ, ์˜คํƒ€, ์‹ฑํฌ ๋“ฑ ๋ฌธ์ œ๊ฐ€ ๋งŽ์Šต๋‹ˆ๋‹ค. 
์˜ค์—ญ, ์˜คํƒ€, ์‹ฑํฌ ๋ฌธ์ œ๋Š” ์ง€์†์ ์œผ๋กœ ์—…๋ฐ์ดํŠธํ•˜๊ณ  ์žˆ์œผ๋ฉฐ, first revision์„ ์ž‘์—…์ค‘์ž…๋‹ˆ๋‹ค. 
first revision์ด draft๋ฒ„์ „๋ณด๋‹ค ๋งŽ์ด ๊ฐœ์„ ๋œ ๋ฒ„์ „์ด๋ฏ€๋กœ ์ฐธ๊ณ ํ•ด์ฃผ์‹œ๊ธฐ ๋ฐ”๋ž๋‹ˆ๋‹ค. 
๋‹ค์‹œ ํ•œ๋ฒˆ ๋ชจ๋‘์—๊ฒŒ ๊ฐ์‚ฌ๋“œ๋ฆฝ๋‹ˆ๋‹ค 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

  1. 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.
  2. and Enjoy videos with Subtitles

     root
     โ””โ”€โ”€ eng
         โ””โ”€โ”€ Subtitles in English.
     โ””โ”€โ”€ kor 
         โ””โ”€โ”€ 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

  1. Detailed syllabus [2016] [2017] [2018]

  2. Lecture Vodeos Playlist [2016] [2017] [2018 is not in public]

Status info

Status info Symbol Status info Symbol
Draft โœ๏ธ 1st_revision โœ๏ธ โœ‚๏ธ
not yet ๐Ÿ”• 2nd_revision โœ๏ธ โœ‚๏ธ โœ‚๏ธ

Event Type Description Videos(youtube) Slides Subtitles Status
Lecture 1 Introduction to Convolutional Neural Networks for Visual Recognition video slide english

korean

โœ๏ธ โœ‚๏ธ
Lecture 2 Image Classification video slide english

korean

โœ๏ธ โœ‚๏ธ
Lecture 3 Loss Functions and Optimization video slide english

korean

โœ๏ธ
Lecture 4 Introduction to Neural Networks video slide english

korean

โœ๏ธ
Lecture 5 Convolutional Neural Networks video slide english

korean

โœ๏ธ
Lecture 6 Training Neural Networks I video slide english

korean

โœ๏ธ
Lecture 7 Training Neural Networks II video slide english

korean

โœ๏ธ
Lecture 8 Deep Learning Software video slide english

korean

โœ๏ธ
Lecture 9 CNN Architectures video slide english

korean

โœ๏ธ
Lecture 10 Recurrent Neural Networks video slide english

korean

โœ๏ธ
Lecture 11 Detection and Segmentation video slide english

korean

โœ๏ธ
Lecture 12 Visualizing and Understanding video slide english

korean

โœ๏ธ
Lecture 13 Generative Models video slide english

korean

โœ๏ธ
Lecture 14 Deep Reinforcement Learning video slide english

korean

โœ๏ธ
Guest Lecture Invited Talk: Song Han
Efficient Methods and Hardware for Deep Learning
video slide english

[korean]

๐Ÿ”•
Guest Lecture Invited Talk: Ian Goodfellow
Adversarial Examples and Adversarial Training
video slide english

[korean]

๐Ÿ”•

Screenshot

alt_tag


Contributors

  • Jaewon Lee (Image Processing & Computer Vision Lab, KNU)
  • Azure (Image Processing & Computer Vision Lab, KNU)

LICENSE

MIT