Short Introduction

  • Part I will cover a draft(version 2016-03-08) from Bengio group, along with related papers. Organized by Seyoon Ko and Prof. Joong-Ho Won
  • Part II will cover various topics and examples of convolutional network. Organized by Yongchan Kwon and Prof. Myunghee Cho Paik

Timeslot

  • Part I: 9:30a-3:00p every Friday for five weeks. Each session is 1.5 hrs long unless otherwise noted

  • Part II: 3:00p-5:00p every other Friday. Each session is 1 hr long unless otherwise noted

Schedule

2016-03-18

  • Part II, start time: 2p
    • Short introduction (Data driven, Online course, Future plan) : 권용찬
    • Convolutional Neural Network (Convolution layer, Pooling layer) : 김영근

2016-03-25

  • Part I, start time: 9:30a, 4.5hr
    • §6. Deep Feedforward Networks : 최영원
    • §7. Regularization for Deep Learning : 고세윤
    • §9. Convolutional Networks : 전정민

2016-04-01

  • Part I, 2.5hr
    • §10. Sequence Modeling: Recurrent and Recursive Nets: 김용준
    • §11. Practical Methodology: 주성재 (1hr)
  • Part I and II Joint Talk (2hr, 1:00p~)

2016-04-08

  • Cancelled

2016-04-14

2016-04-15

  • Part I
시작시간 종료시간 단원 발표자 장소 Hard Limit
9:30 11:00 12. Applications 정구환 25-405  
11:00 12:30 13-14. Linear Factor Models and Autoencoders 최세민 25-405  
12:30 13:50 점심시간   25-405 14:00 확개응
13:50 15:20 15. Representation Learning 온일상 25-210 15:30 HGLM
15:20 15:30 이동시간      
15:30 17:00 16. Structured Probabilistic Models for Deep Learning 권용찬 25-405  
17:00 17:30 17. Monte Carlo Methods 우일상 25-405  
    저녁식사      

2016-04-17

시작시간 종료시간 단원 발표자 장소 Hard Limit
10:00 12:00 18. Confronting the Partition Function/19. Approximate Inference 김동하 25-405  
12:00 13:00 점심시간      
13:00 14:30 20. Deep Generative Models (Part 1): Boltzmann Machines 김보영 25-405  
14:30 16:00 20. Deep Generative Models (Part 2): More Generative Models 백규승 25-405  

2016-05-06(?)

  • Part II
    • Deep software practice (Caffe, Keras, ..) : 최영원
    • AlexNet : 권용찬

2016-05-13

2016-05-27

Check it out! Google Groups