2021 Spring DHC5035 Deep Learning in Medicine

• • This class will introduce the recent achievements of machine learning (deep learning).

  • As a consecutive class of “DHC5035 Machine Learning in Medicine“, this class will cover the remaining parts of ”Dive into Deep Learning (Freely available on https://d2l.ai/)
    • From Chapter 8 RNN to Chapter 17 GAN.
    • DHC5036 Machine Learning in Medicine (2020 Fall semester) covered Chapter 1 to Chapter 7.

  • This class will not cover the medical applications but focus on the theory of machine learning.

  • Programming practice included
  • Bring your own laptop for programming practice
  • On/Off hybrid class

• • Prof. Soo-Yong Shin (sy.shin (at) skku.edu)

• • Friday 9:00 AM ~ 11:50 AM
  • 임상교육장 (Building B 9F)
  • Webex: https://skku-ict.webex.com/meet/sy.shin 

• • Dive into Deep Learning (Freely available on https://d2l.ai/)

• • Attendance: P/F
  • Assignment: 65%
  • Final exam: 35%
•  
  • Final Grade

• • All assignments should be submitted to GitHub ( https://classroom.github.com/a/lsIq5iN5 )
  • How to submit your assignments (If you need assistant, contact Hyunwoo Choo)
  • 13 Assignments
  • Students should submit an assignment before next class (Thursday midnight). If late, the score will be ZERO.
  • File naming convention:  Assignment_1(change the number based on the assignment)_StudentID_StudentName.extension
  • Assignments scores

• • How to submit your final report

(Course schedule can be changed.)

All on-line streaming will be recorded and uploaded in iCampus.

1. 1. 2/26: Course Introduction 
      • How to prepare the courses (Kaggle Notebook)
      • How to use Github
      • How to submit your assignments
      • Reading materials
        • (Mandatory)  Korean Society of Artificial Intelligence in Medicine – AI in Medicine in Korea (Whitepaper) (in Korean)
   2. 3/5: Recurrent Neural Network (RNN) & Practice (TA: Yoonho Choi)
      • Assignment #1 – (Score)
   3. 3/12: Modern RNN & Practice (TA: GeunHyeong Lee)
      • Assignment #2 – (Score)
   4. 3/19: Attention Mechanism
      • Assignment #3 – (Score)
   5. 3/26: Practice: Attention Mechanism (TA: Yoonho Choi)
      • Assignment #4 – (Score)
      • Source code
   6. 4/2: Optimization Algorithm
      • Assignment #5 – (Score)
   7. 4/9: Practice: Optimization (TA: GeunHyeong Lee)
      • Assignment #6 – (Score)
   8. 4/16: Computer Vision (Pre-recorded lecture. See the lecture video at iCampus)
      • Assignment #7 – (Score)
   9. 4/23: Practice: Computer Vision (TA: Yoonho Choi)
      • Assignment #8 (deadline extended due to late post. check the file) – (Score)
      • ipynb file
   10. 4/30: National Language Processing (NLP): Pretraining & Application
       • Assignment #9  – (Score)
   11. 5/7: Practice: NLP (TA: Geonhee Lee)
       • Assignment #10 –  (Score)
       • ipynb file for the assignment #10
   12. 5/14: Recommender Systems
       • Assignment #11 –  (Score)
   13. 5/21: Generative Adversarial Networks
       • Assignment #12 –  (Score)
   14. 5/28: Practice: GAN (TA: GeunHyeong Lee)
       • Assignment #13 –  (Score)
   15. 6/4: Final Exam