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 |
第17週 |
Self-directed Learning I - Participate in relevant lectures, workshops, or seminars using materials designated by the instructors. |
第18週 |
Self-directed Learning II - Participate in relevant lectures, workshops, or seminars using materials designated by the instructors. |