5327 - 深度學習之物理研究應用專題（一）
Special Topics for Applications of Deep
教育目標 Course Target
This course will focus on the application of machine learning on physical problems. Students will be assigned to specified projects and are required to finish the projects under the guidance of the supervisors. The students will learn research methods, various types of machine learning, data collections, and receive training on the application of machine learning on specified problems.
This course will focus on the application of machine learning on physical problems. Students will be assigned to specified projects and are required to finish the projects under the guidance of the supervisors. The students will learn research methods, various types of machine learning, data collections, and receive training on the application of machine learning on specified problems.
參考書目 Reference Books
Python Machine Learning 2nd Ed.
Sebastian Raschka and Vahid Mirjalili
Packt Publishing Ltd.
Reinforcement Learning: An introduction. 2nd Edition
Richard S. Sutton and Andrew G. Barto
The MIT Press
Python Machine Learning 2nd Ed.
Sebastian Raschka and Vahid Mirjalili
Packt Publishing Ltd.
Reinforcement Learning: An introduction. 2nd Edition
Richard S. Sutton and Andrew G. Barto
The MIT Press
評分方式 Grading
| 評分項目 Grading Method |
配分比例 Percentage |
說明 Description |
|---|---|---|
|
Project assignment Project assignment |
100 |
授課大綱 Course Plan
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課程資訊 Course Information
基本資料 Basic Information
- 課程代碼 Course Code: 5327
- 學分 Credit: 3-0
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上課時間 Course Time:Friday/7,8,9[ST233]
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授課教師 Teacher:施奇廷/吳桂光
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修課班級 Class:應物系3,4,碩博
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選課備註 Memo:大3,4可選[III類選修，限論文專題(一)上期修習及格或同步修習者]，須經授課教師同意，人工選課
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