圖形識別概論(英文授課)
Introduction to Pattern Recognition
| 節 | 週三 | 週五 |
|---|---|---|
3 10:10–11:00 | 圖形識別概論(英文授課) ED102（光復） 2 節連堂 | |
4 11:10–12:00 | ||
7 15:30–16:20 | 圖形識別概論(英文授課) ED102（光復） |
* 根據陽明交大上課時間表所列
An Introduction to Pattern Recognition.
Linear algebra, probability, calculus, and computer programming
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Five homework assignments (60%) Final exam (40%)
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| 週次 | 主題 |
|---|---|
| 第 1 週 | Introduction 3/4 3/6 |
| 第 2 週 | Linear Model for Regression I 3/11 3/13 |
| 第 3 週 | Linear Model for Regression II 3/18 3/20 |
| 第 4 週 | Linear Model for Classification I 3/25 3/27 |
| 第 5 週 | Linear Model for Classification II 4/1 4/3 |
| 第 6 週 | Neural Networks 4/8 4/10 |
| 第 7 週 | Dimensionality Reduction 4/15 4/17 |
| 第 8 週 | Ensemble Model I 4/22 4/24 |
| 第 9 週 | Ensemble Model II 4/29 5/1 |
| 第 10 週 | Kernel Method I 5/6 5/8 |
| 第 11 週 | Kernel Method II 5/13 5/15 |
| 第 12 週 | Clustering 5/20 5/22 |
| 第 13 週 | Deep Learning 5/27 5/29 |
| 第 14 週 | Convolutional Neural Networks (CNN) 6/3 6/5 |
| 第 15 週 | Representative CNN Models 6/10 6/12 |
| 第 16 週 | Deep Autoencoder (DAE) and Generative Adversarial Networks (GAN) 6/17 6/19 |
| 第 17 週 | Final Exam 6/24 6/26 |
C. Bishop, Pattern Recognition and Machine Learning, Springer 2006. https://www.springer.com/gp/book/9780387310732 Free pdf download: https://www.microsoft.com/en-us/research/uploads/prod/2006/01/Bishop-Pattern-Recognition-and-Machine-Learning-2006.pdf
- 地點
- EC118
- 時間
- Wednesday 1:30pm ~ 3:30pm
- 聯絡方式
- Instructor Yen-Yu Lin (林彥宇) at lin@cs.nctu.edu.tw TA Jimmy Yang (楊証琨) at d08922002@ntu.edu.tw TA Chung-Hsuan Cheng (鄭仲軒) at scott19880525@gmail.com