CS231n(2016): Convolutional Neural Networks for Visual Recognition

Lecture Review
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2020-03-12 10:45
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Study 기간: 2017. 01. ~ 2017. 03.

참여 인원: 지도교수 강필성, 박사과정 김준홍, 김창엽, 통합과정 김형석, 김동화, 박민식, 서승완, 석사과정 김보섭, 김해동, 조수현, 서덕성, 박재선, 이기창, 모경현, 정재윤, 장명준

대상 강의: http://cs231n.stanford.edu/syllabus.html

발표 영상: YouTube Playlist
일시 Chapter 발표자 발표/실습자료 발표영상
2017-01-10 1. Intro to Computer Vision, historical context. (week 1) 모경현 발표자료 " target="_blank" rel="noopener">발표영상
2017-01-12 2. Image classification and the data-driven approach k-nearest neighbor Linear classification I (week 2) 서덕성 발표자료
실습자료
" target="_blank" rel="noopener">발표영상
2017-01-16 3. Linear classification II Higher-level representations, image features Optimization, stochastic gradient descent (week 3) 김창엽 발표자료 " target="_blank" rel="noopener">발표영상
2017-01-18 4. Backpropagation Introduction to neural networks (week 4) 김해동 발표자료 " target="_blank" rel="noopener">발표영상
2017-01-24 5. Training Neural Networks Part 1 (week 5) 김준홍 발표자료 " target="_blank" rel="noopener">발표영상
2017-01-26 6. Training Neural Networks Part 2 (week 6) 김준홍 발표자료 " target="_blank" rel="noopener">발표영상
2017-01-31 7. Convolutional Neural Networks (week 7) 김보섭 발표자료 " target="_blank" rel="noopener">발표영상
2017-02-02 8. ConvNets for spatial localization Object detection (week 8) 박민식 발표자료 " target="_blank" rel="noopener">발표영상
2017-02-07 9. Understanding and visualizing Convolutional Neural Networks Backprop into image (week 9) 김동화 발표자료 " target="_blank" rel="noopener">발표영상
2017-02-09 10. Recurrent Neural Networks (week 10) 이기창 발표자료 " target="_blank" rel="noopener">발표영상
2017-02-13 11. Training ConvNets in practice (week 11) 서덕성 발표자료 " target="_blank" rel="noopener">발표영상
Overview of Caffe/Torch/Theano/TensorFlow (week 12) Skip
2017-02-24 12. Segmentation, Soft attention models, Spatial transformer networks (week 13) 박재선 발표자료 " target="_blank" rel="noopener">발표영상
2017-03-03 13. ConvNets for videos Unsupervised learning (week 14) 김동화 발표자료 " target="_blank" rel="noopener">발표영상
Invited Talk by Jeff Dean (week 15) Skip
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Data Science & Business Analytics Lab.
Department of Industrial Engineering, College of Engineering,
Seoul National University

Contact Us

  • 강필성 교수 (pilsung_kang@snu.ac.kr)
    서울특별시 관악구 관악로 1 서울대학교 공과대학 39동 301호 
  • 대학원 연구실 (총무 김재희: jaehee_kim@snu.ac.kr)
    서울특별시 관악구 관악로 1 서울대학교 공과대학 39동 411호