Korean Subtitles for CS231n Spring 2017

CS231n 한글번역

Translation project of CS231n 2017 lecture video
Also see CS231n Website

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Announcements

CS231n 한글번역 프로젝트입니다. Stanford의 CS231n는 CNN(Convolutional Neural Network)을 중심으로 Deep Learning을 배우는 현존하는 가장 좋은 강의 중 하나. 이 프로젝트는 CS231n을 수강하기에 언어의 장벽으로 힘든 분들을 위한 한글 번역 프로젝트입니다. 많은 분들이 이 강의를 듣고 행복했으면 좋겠습니다. 하지만 CS231n 정도의 수준 그리고 그 이상을 위해서라면 영어실력이 뒷받침해 줘야 하는 것은 명백한 사실입니다.
도올 김용옥 선생의 "영어 수학을 왜 공부해야 하는가?

> CS231n에 의 대상
1) Deep Learning을 처음 접하는 초급자
2) Deep Learning을 어느정도 알지만 심도깊게 배우고 싶은 중급자
3) Deep Learning의 트렌드를 살펴 보고자 하는 상급자 

> 자세한 Prerequisites은 Lecture 1을 참고하시기 바랍니다. 

많은 분들의 관심과 격려로 힘내고 있습니다. 감사합니다 :D
그리고 또한 많은 분들께서 오역, 오타관련 Issues, Pull requests, Email 등을 
보내주시고 계십니다. 특히 오타 찾는게 정말 힘든데 이렇게 도와주시니 정말 감사할 따릅입니다 :D 

현재 draft 버전은 오역, 오타, 싱크 등 문제가 많습니다. 
오역, 오타, 싱크 문제는 지속적으로 업데이트하고 있으며, first revision을 작업중입니다. 
first revision이 draft버전보다 많이 개선된 버전이므로 참고해주시기 바랍니다. 
다시 한번 모두에게 감사드립니다 XD

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Instructors

Fei-Fei Li: http://vision.stanford.edu/feifeili/  
Justin Johnson: http://cs.stanford.edu/people/jcjohns/  
Serena Yeung: http://ai.stanford.edu/~syyeung/  

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Prerequisites

Any video player with codecs which might be let you watch lectures
    Recommendation
        Windows : PotPlayer(kakao)
        Linux   : SM Player
        IOS     : Whatever you can :(

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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
    └── eng
        └── Subtitles in English.
    └── kor 
        └── Subtitles in Korean.
   

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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 :(

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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	✏️	1st_revision	✏️ ✂️
not yet	🔕	2nd_revision	✏️ ✂️ ✂️

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Event Type	Description	Videos(youtube)	Slides	Subtitles	Status
Lecture 1	Introduction to Convolutional Neural Networks for Visual Recognition	video	slide	english korean	✏️ ✂️
Lecture 2	Image Classification	video	slide	english korean	✏️ ✂️
Lecture 3	Loss Functions and Optimization	video	slide	english korean	✏️
Lecture 4	Introduction to Neural Networks	video	slide	english korean	✏️
Lecture 5	Convolutional Neural Networks	video	slide	english korean	✏️
Lecture 6	Training Neural Networks I	video	slide	english korean	✏️
Lecture 7	Training Neural Networks II	video	slide	english korean	✏️
Lecture 8	Deep Learning Software	video	slide	english korean	✏️
Lecture 9	CNN Architectures	video	slide	english korean	✏️
Lecture 10	Recurrent Neural Networks	video	slide	english korean	✏️
Lecture 11	Detection and Segmentation	video	slide	english korean	✏️
Lecture 12	Visualizing and Understanding	video	slide	english korean	✏️
Lecture 13	Generative Models	video	slide	english korean	✏️
Lecture 14	Deep Reinforcement Learning	video	slide	english korean	✏️
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]	🔕

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Screenshot

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Contributors

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

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LICENSE

MIT