Pattern Recognition, Fall 2023

Course Schedule

1st week

        09/05   Course overview, Chapter 1 : Introduction

2nd week

        09/12   Chapter 2 : Bayesian Decision Theory

3rd week

        09/19   Chapter 2 : Bayesian Decision Theory

4th week

        09/26   Chapter 2 : Bayesian Decision Theory

5th week

        10/03   Chapter 2 : Bayesian Decision Theory

6th week

        10/10   國慶日

7th week

        10/17   Chapter 2 : Bayesian Decision Theory

8th week

        10/24   Chapter 3 : Maximum-Likelihood and Bayesian Parameter Estimation

9th week

        10/31   Chapter 3 : Maximum-Likelihood and Bayesian Parameter Estimation

10th week

        11/07   Chapter 3 : Maximum-Likelihood and Bayesian Parameter Estimation

11th week

        11/14   Chapter 3 : Maximum-Likelihood and Bayesian Parameter Estimation

12th week

        11/21   Chapter 3 : Maximum-Likelihood and Bayesian Parameter Estimation

13th week

        11/28   Chapter 6 : Multilayer Neural Networks

14th week

        12/05   Chapter 6 : Multilayer Neural Networks

15th week

        12/12   Chapter 6 : Multilayer Neural Networks

16th week

        12/19   Chapter 6 : Multilayer Neural Networks

17th week

        12/26   Chapter 6 : Multilayer Neural Networks