| 週次 |
授課內容 |
| 第1週 |
Introduction to Deep Learning (DL) |
| 第2週 |
Introduction to Deep Learning Type - Regression |
| 第3週 |
Introduction to Deep Learning Type - Classification
|
| 第4週 |
Implementation – Part I (Regression) & (Classification) |
| 第5週 |
Introduction to Ensemble Learning |
| 第6週 |
Implementation – Part I (Ensemble Learning) |
| 第7週 |
Implementation – Part II (Regression) & (Classification) |
| 第8週 |
Midterm-Project Presentation |
| 第9週 |
Implementation – Part II (Ensemble Learning) |
| 第10週 |
Introduction to Data Visualization |
| 第11週 |
Implementation – Data Visualization
|
| 第12週 |
Introduction to Semi-supervised Learning |
| 第13週 |
Implementation – Semi-supervised Learning |
| 第14週 |
Introduction to Transfer Learning |
| 第15週 |
Implementation – Transfer Learning |
| 第16週 |
Final-Project Presentation |
自主學習
內容 |
02.閱覽產業及學術相關多媒體資料
Self-directed Learning I - Participate in relevant lectures, workshops, or seminars using materials designated by the instructors.
Self-directed Learning II - Participate in relevant lectures, workshops, or seminars using materials designated by the instructors. |