圖形識別
Pattern Recognition
學期
112-2
學分
3
學分
當期課號
535652
永久課號
CSIC30034
開課單位
多媒體工程研究所
授課教師
林彥宇
校區
光復
類別
選修
上課時間表
| 節 | 週三 |
|---|---|
3 10:10–11:00 | 圖形識別 EC015 3 節連堂 |
4 11:10–12:00 | |
N 12:20–13:10 |
* 根據陽明交大上課時間表所列
概述
An introduction to pattern recognition
先修科目
Linear algebra, probability, calculus, programming (such as Python), and deep learning programming (such as PyTorch, Keras, or TensorFlow)
評分方式
Four Homework Assignments: 60% (= 15% x 4) Final Exam: 40%
週次計畫
| 週次 | 主題 |
|---|---|
| 第 1 週 | Introduction to Pattern Recognition |
| 第 2 週 | National Holiday: No Lecture |
| 第 3 週 | Linear Model for Regression I |
| 第 4 週 | Linear Model for Regression II |
| 第 5 週 | Linear Model for Classification I |
| 第 6 週 | Linear Model for Classification II |
| 第 7 週 | Intercollegiate Activities: No Lecture |
| 第 8 週 | Neural Networks |
| 第 9 週 | Ensemble Model I |
| 第 10 週 | Ensemble Model II |
| 第 11 週 | Kernel Method I |
| 第 12 週 | Kernel Method II |
| 第 13 週 | Deep Neural Networks |
| 第 14 週 | Convolutional Neural Networks |
| 第 15 週 | Attention and Transformers |
| 第 16 週 | Final Exam |
教科書
1. 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 2. Ian Goodfellow, Yoshua Bengio, and Aaron Courville, Deep Learning, MIT Press, 2016 Free pdf download: https://www.deeplearningbook.org/
Office Hours
- 地點
- Instructor: EC706 TAs: EC701 and EC234-C Please send us an email in advance to make an appointment, and we will inform you where to have a discussion.
- 時間
- Wednesday 2:00 pm ~ 3:00 pm
- 聯絡方式
- Instructor: Yen-Yu Lin (林彥宇) Email: lin@cs.nycu.edu.tw TAs: Jui-Che Chiang (江睿哲) Email: benchiang.cs07@nctu.edu.tw Wei-Hsiang Yu (游為翔) Email: weihsiang.yu@gmail.com Ji-Jia Wu (吳季嘉) Email: jijiawu.cs@gmail.com Si-Yu Huang (黃思瑜) Email: stella900604@gmail.com