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Course: Pattern Recognition

Instructor: Prof. Yen-Yu Lin

Introduction

An introduction to pattern recognition

Office Hours

Wednesday 2:00 pm ~ 3:00 pm at EC218

Please contact us by the following information:

Grading Policy

  • 4 homework assignments: 60%, see HW READEME
  • Final exam: 40%

Syllabus

Week Date Topic Remarks
1 02/16 University Anniversary Celebrations: No lecture
2 02/23 Introduction to Pattern Recognition
3 03/02 Linear Model for Regression
4 03/09 Linear Model for Classification I HW1 announce
5 03/16 Linear Model for Classification II
6 03/23 Neural Networks HW1 due, HW2 announce
7 03/30 Dimensionality Reduction
8 04/06 Holiday/Cross-university Activities: No lecture HW2 due
9 04/13 Ensemble Method I
10 04/20 Ensemble Method II HW3 announce
11 04/27 Kernel method I
12 05/04 Kernel method II HW3 due, HW4 announce
13 05/11 Clustering
14 05/18 Deep Neural Networks (DNN) and Convolutional Neural Networks (CNN) HW4 due
15 05/25 Attention and Transformers HW5 announce if we can't have the final exam in class
16 06/01 Final exam

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