/CS231N_17_KOR_SUB

CS231N 2017 video subtitles translation project for Korean Computer Science students

MIT LicenseMIT

Korean Subtitles for CS231N Spring 2017

CS231N 한글번역

Translation project of CS231N 2017 lecture video
Also see CS231N Website

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

Update Note

2018.05.27
Lecture 1 : Complete(Roughly)
Lecture 2 : Complete(Roughly)
Lecture 3 : Complete(Roughly)
Lecture 4 : Complete(Roughly)
Lecture 5 : Complete(Roughly)
Lecture 6 : Complete(Roughly)
Lecture 7 : ****Now Here!****
Lecture 8 : Not Yet
Lecture 9 : Not Yet
...

Table of Contents (CS231N 2017)

Please see also

  1. Detailed syllabus [2017] [2018]
  2. Lecture Vodeos Playlist [2017] [2018]
Lecture Description Videos(youtube) Slides Subtitles
1 Introduction to Convolutional Neural Networks for Visual Recognition video slide english

korean
2 Image Classification video slide english

korean
3 Loss Functions and Optimization video slide english

korean
4 Introduction to Neural Networks video slide english

korean
5 Convolutional Neural Networks video slide english

korean
6 Training Neural Networks I video slide english

korean
7 Training Neural Networks II video slide english

[korean]
8 Deep Learning Software video slide english

[korean]
9 CNN Architectures video slide english

[korean]
10 Recurrent Neural Networks video slide english

[korean]
11 Detection and Segmentation video slide english

[korean]
12 Visualizing and Understanding video slide english

[korean]
13 Generative Models video slide english

[korean]
14 Deep Reinforcement Learning video slide english

[korean]
15 Efficient Methods and Hardware for Deep Learning video slide english

[korean]
16 Adversarial Examples and Adversarial Training video slide english

[korean]

Screenshot

alt_tag

Contributors

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

LICENSE

MIT