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Artificial Intelligence (AI) for TCM

Fall 2018, CSIE Room 4201, 9:00~12:00 Tuesday

Instructor: Kun-chan Lan

Objectives
•Understand the basics of TCM
•Learning of Deep Learning methods (CNN/RNN/RL) for TCM applications
 

Course Slides

            •week 1 (9/11): Introduction

            •week 2 (9/18): Tutorial for HW1

            •week 3 (9/25): AI for TCM

            •week 7 (10/23): Regression

            •week 8 (10/30): Gradient Decent

            •week 10 (11/13): Introduction to Deep Learning

            •week 11 (11/20): Convolutional Neural Network (CNN)

            •week 12 (11/27): Introduce to CNN           

            •week 13 (12/04): Tutorial for HW2           

            •week 14 (12/11): Introduce to RNN           

            •week 15 (12/18): Reinforcement learning & Unsupervised learning & Transfer learning

 

 

 

Course Video Link

            •9/11: Introduction

            •10/09: AI for TCM

            •10/23: AI for TCM & Regression

            •10/30: Regression

            •11/13: Regression & Gradient Decent & Deep Learning

            •11/20: Deep Learning

            •11/27: CNN

            •12/11: RNN

            •12/18: Reinforcement learning & Unsupervised learning & Transfer learning

 

 

Scope

 

Announcement
 

 


Please join the course group for Line
Group Link:https://line.me/R/ti/g/s2Li-2qirE
QR code Link: Link

Please email your group members(name, ID) to TA before the end of this Friday

  –Up to 3 members for each group

  –Same group members for the project

 

Syllabus 
 
    •week 1 (9/11) Administration issue
    •week 2 (9/18) Tutorial for homework I  
    •week 3 (9/25) Introduction toTCM (I)    
    •week 4 (10/2) Introduction to TCM (II)    
    •week 5 (10/9)  Introduction to TCM (III)
    •week 6 (10/16) Conference travel  
    •week 7 (10/23) Regression   
    •week 8 (10/30) Gradient Decent  
    •week 9 (11/6) Conference travel
    •week 10 (11/13) Introduction to Deep Learning(I) 
    •week 11 (11/20) Backpropagation
    •week 12 (11/27) Convolutional Neural Network (CNN)      
    •Week 13 (12/4)  Tutorial for homework II
    •week 14 (12/11) Recurrent Neural Network (RNN) 
    •week 15 (12/18) Reinforcemrnt learning
    •week 16 (12/25) Project demo, homework I/II due 
    •week 17 (1/1) School holiday
 
 
 
 
Lecture Material
 
 
Complementary Materials
 
Text Book
 
Instructor
  Prof. Kun-chan Lan (藍崑展)
    Office: Room Room 65C05,12F (new CSIE building, Cheng-Kung Campus)
    Office hours: 11-12am on Wednesday, 11-12am on Thursday or by appointment via e-mail
    Email: This email address is being protected from spambots. You need JavaScript enabled to view it.
    Phone: 06-2757575 ext.62550
 
TA
  Office: Room 65501,5F (Department of computer science new building, Cheng-Kung Campus)
  Phone: 06-2757575 ext.62520(CSIE) ext.2501(LAB)
 
  TA (Homework) : Louis
email: This email address is being protected from spambots. You need JavaScript enabled to view it.
Grading
 
 
 
•Working as a team (100%)
– project (50%)
– Homework(50%)
•Class participation (up  to +/-10%)
– In-class discussion
 
 
 

•Grading criteria

Homework 1 : 5% for each herb recognized

Homework 2 : compute RMSE and correlation

Project : 10% for each new herb recognized
 
Homework
 Homework 1：
　　　　　　　Download：　　　　　　　
　　　　　　　APP
                    Code & Kit & Material
Homework 2：
　　　　　　　Download：　　　　　　　
 
Project 

 
Quiz