Pattern Recognition, Fall 2017

Course Schedule

1st week

        09/19   Course overview, Chapter 1 : Introduction

2nd week

        09/26   Chapter 2 : Bayesian Decision Theory

3rd week

        10/03   Chapter 2 : Bayesian Decision Theory

4th week

        10/10   國慶日放假

5th week

        10/17   Chapter 2 : Bayesian Decision Theory

6th week

        10/24   Chapter 2 : Bayesian Decision Theory

7th week

        10/31   Chapter 2 : Bayesian Decision Theory

8th week

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

9th week

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

10th week

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

11th week

        11/28   Chapter 3 : Maximum-Likelihood and Bayesian Parameter Estimation

12th week

        12/05   Chapter 3 : Maximum-Likelihood and Bayesian Parameter Estimation

13th week

        12/12   Deep Learning

14th week

        12/19   Deep Learning

15th week

        12/26   Deep Learning       

16th week

        01/02   Deep Learning

17th week

        01/09   Deep Learning