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

進階機器學習

Advanced Topics in Machine Learning

學期
108-1
學分
3 學分
當期課號
5385
永久課號
IAM5835
開課單位
應用數學系
授課教師
李育杰
校區
光復
類別
選修
上課時間表
週二
週三
3
10:10–11:00
進階機器學習
SA215
2 節連堂
4
11:10–12:00
8
16:30–17:20
進階機器學習
SA215

* 根據陽明交大上課時間表所列

概述

``Google's always used machine learning. In all the areas we applied it to, speech recognition, then image understanding, and eventually language understanding, we saw tremendous improvements.'' John Giannandrea, then VP of Engineering, Google In the last decade, deep learning has been applied to many real world problems successfully. We will introduce the important and well known neural networks such as the convolutional neural networks, CNN for image classification and recognition, the recurrent neural networks, RNN for sequential data. Representation learning and deep reinforcement learning will be included as well. Also some special topics and applications will be discussed.

先修科目

Machine Learning Mathematical analysis Numerical Methods Linear Algebra Probability

評分方式

Homework: 30% Presentation in the class: 40 % Final Project: A Kaggle Competition, 30 %

教科書

Ian Goodfellow, Yoshua Bengio, and Aaron Courville. Deep learning. The MIT Press, 2016.

Office Hours
地點
SA-240
時間
Making the appointment by e-mail
聯絡方式
yuhjye@math.nctu.edu.tw