Schedule
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~)
- §8. Optimization for Training Deep Models: 최영근
- With more emphasis on :
- Stochastic gradient descent
- Momentum methods, including Nesterov’s momentum
- Adaptive learning rates, including Adagrad, Adadelta, RMSProp, ADAM
- With more emphasis on :
- §8. Optimization for Training Deep Models: 최영근
2016-04-08
- Cancelled
2016-04-14
- Part II: 19:00-21:00
- Layer 1 (ReLU, Dropout, Maxout, Batch Normalization) : 김지수
- Layer 2 (Random initialization, other ref.) + Check Neural Networks : 고세윤
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