| week | Main Session (every Thursday 19:00~21:00) |
Special Session (Saturday 15:00~17:00) |
|---|---|---|
| week 1 | introduction(3/3) | |
| week 2 | Optimization and Basic NN architecture(3/10) 발제자: 김민수, 박상용 |
김세정 선배님 연사특강 |
| week 3 | Universal Approximator(3/17) 발제자: 고정민, 김예찬, 이미르 |
|
| week 4 | Information Processing(3/24) 발제자: 김송희, 박태주 |
박광문 선배님 연사특강 |
| week 5 | Geometric Interpretation(3/31) 발제자: 강미루, 이도형 |
|
| week 6 | Generative model - GAN(4/7) 발제자: 김두은, 윤이경, 정유진 |
|
| week 7 | 중간고사 준비 | |
| week 8 | 중간고사 | |
| week 9 | 휴식 | |
| week 10 | 어린이날 | |
| week 11 | Bayesian Neural Network(5/12) | 민승현 선배님 연사특강 |
| week 12 | 파이널 프로젝트 중간 발표(5/19) | |
| week 13 | 파이널 프로젝트 최종 발표(5/26) | 손동규 선배님 연사특강 |
| week 14 | 기말고사 준비 | |
| week 15 | 기말고사 | |
| week 16 | 기말고사 |
- Bayesian Neural Network(임선우)
- 수리통계학(박웅준)
- Data Analysis with explainability(고정민)
Ovidiu Calin (2022). Deep Learning Architecture - a Mathematical Approach. Springer.
- 220310 week 2 : Optimization and Basic NN Architecture - https://youtu.be/pyHoM7Yr36o
- 220317 week 3 : Universal Approximation Theorem - https://www.youtube.com/watch?v=dUFqH3B7_i0&t=5078s
- 220324 week 4 : Information Processing - https://www.youtube.com/watch?v=HETeyZX-qE4
- 220331 week 5 : Geometric Interpretation - https://www.youtube.com/watch?v=0BU66Vv8lQM
- 220407 week 6 : Generative Model - https://www.youtube.com/watch?v=PQhFtg8j5U0
- 220512 week 11 : BNN - https://youtu.be/hujyNO_Fn_M
- 220519 week 12 : Final Project (1) - https://youtu.be/eqzsur4lewQ
- 220526 week 13 : Final Project (2) - https://youtu.be/qNYzI2-RSYk