5576 - 深度學習與工程應用
Deep Learning and Engineering Applications
教育目標 Course Target
The course objectives are to introduce concepts and approaches of deep learning as well as the related applications about engineering. We expect that students can further apply the approaches introduced in the courses into their study and future works.
The course objectives are to introduce concepts and approaches of deep learning as well as the related applications about engineering. We expect that students can further apply the approaches introduced in the courses into their study and future works.
參考書目 Reference Books
Zhang, A., Lipton, Z. C., Li, M., & Smola, A. J. (2023). Dive into deep learning. Cambridge University Press.
深度學習詳解 referred to https://github.com/datawhalechina/leedl-tutorial and Prof. Hung-yi Lee at Taiwan University
Pytorch實用教程 referred to https://github.com/TingsongYu/PyTorch-Tutorial-2nd
Selected papers from Journals and arXiv
Zhang, A., Lipton, Z. C., Li, M., & Smola, A. J. (2023). Dive into deep learning. Cambridge University Press.
Detailed learning detailed explanation referred to https://github.com/datawhalechina/leedl-tutorial and Prof. Hung-yi Lee at Taiwan University
Pytorch practical tutorial referred to https://github.com/TingsongYu/PyTorch-Tutorial-2nd
Selected papers from Journals and arXiv
評分方式 Grading
| 評分項目 Grading Method |
配分比例 Percentage |
說明 Description |
|---|---|---|
|
Kaggle Game-1 Kaggle Game-1 |
20 | |
|
Kaggle Game-2 Kaggle Game-2 |
20 | |
|
Kaggle Game-3 Kaggle Game-3 |
20 | |
|
Midterm Midterm |
20 | |
|
Final Final |
20 |
授課大綱 Course Plan
點擊下方連結查看詳細授課大綱
Click the link below to view the detailed course plan
相似課程 Related Courses
無相似課程 No related courses found
課程資訊 Course Information
基本資料 Basic Information
- 課程代碼 Course Code: 5576
- 學分 Credit: 0-3
-
上課時間 Course Time:Tuesday/6,7,8[IEⅡ102]
-
授課教師 Teacher:黃鼎翔
-
修課班級 Class:工工碩博1,2
-
選課備註 Memo:GE7107
交換生/外籍生選課登記
請點選上方按鈕加入登記清單，再等候任課教師審核。
Add this class to your wishlist by clicking the button above.