校際選修

115-1 選課時程

進行中

  • 初選第一階段 6/15/2026
  • 初選第二階段 6/22/2026
  • 校際選修 8/24/2026
  • 初選第三階段 8/31/2026
  • 開學後加退選 9/7/2026
  • 逾期加退選 9/21/2026
選課資源

機器學習

Machine Learning

學期
108-2
學分
3 學分
當期課號
5032
永久課號
IEE5725
開課單位
電子研究所
授課教師
鄭文皇
校區
光復
類別
選修
上課時間表
週五
N
12:20–13:10
機器學習
EDB26
3 節連堂
5
13:20–14:10
6
14:20–15:10

* 根據陽明交大上課時間表所列

概述

The objective of this course is to learn the theory and practice of Machine Learning (ML). As a graduate-level course, it aims to not only provide a broad introduction to the fundamental concepts of ML but also cover the latest topics in current ML literature, such as Graph Neural Networks (GNN).

先修科目

There are no formal pre-requisites for the course, but students should have basic knowledge of probability and linear algebra as well as previous programming experience in Python. Students are welcomed to contact the instructor if they are unsure whether their backgrounds are suitable for the course.

評分方式

Assignments (40%), Midterm Examination (20%), Final Examination (30%), Paper Presentation (10%)

週次計畫
週次主題
第 1 週Lecture: - Course Overview - Machine Learning Basics: Part 1
第 2 週Lecture - Machine Learning Basics: Part 2
第 3 週Lecture - Deep Feedforward Networks - Regularization for Deep Learning
第 4 週Lecture - Optimization for Training Deep Models - Convolutional Networks
第 5 週Holiday
第 6 週Lecture - Graph Neural Networks: Part 1
第 7 週Lecture - Graph Neural Networks: Part 2
第 8 週Midterm Examination
第 9 週Lecture - Recurrent Neural Networks
第 10 週Lecture - Deep Model Compression
第 11 週Lecture - Self-Supervised Learning
第 12 週Invited Lecture - Deep Learning-Hardware Design (Dr. Chun-Chen Liu)
第 13 週Invited Lecture - Deep Learning-Hardware Design (Dr. Chun-Chen Liu)
第 14 週Lecture - Deep Generative Models
第 15 週Final Examination
第 16 週Paper Presentation
第 17 週Holiday
教科書

1. Ian Goodfellow, Yoshua Bengio and Aaron Courville, “Deep Learning,” MIT Press, 2016. 2. Instructor’s complementary material.

Office Hours
地點
By appointment
時間
By appointment
聯絡方式
Instructor: Wen-Huang Cheng (鄭文皇) (send email to whcheng@nctu.edu.tw) TAs: Ms. Ling Lo (羅婈) ( lynn97.ee08g@nctu.edu.tw) and Ms. Lei Chen (陳蕾) (send email to lami860516.eic08g@nctu.edu.tw)