本課程涵蓋AI背景知識與模型理論建立、AI技術實作以及AI創新應用實例分享。
期望一學期後學生能夠：
1具備AI相關背景與理論知識
2透過AI應用實例演練強化實作能力
3專研AI相關論文並提出獨到見解與開創思維
4針對特定AI問題選擇適切的數學模型表述之
This course covers the establishment of AI background knowledge and model theory, AI technology implementation, and sharing of AI innovative application examples.
I hope that students after the first year of the school can:
1. Have AI-related background and theoretical knowledge
2. Strengthen practical ability through AI application examples
3. Specialize in AI-related papers and put forward unique explanations and creative ideas
4 Select appropriate mathematical model for specific AI problems
1. Ian Goodfellow, Yoshua Bengio, and Aaron Courville (2016). Deep Learning. MIT Press.
2.自編教材及相關論文
1. Ian Goodfellow, Yoshua Bengio, and Aaron Courville (2016). Deep Learning. MIT Press.
2. Self-edited textbooks and related articles
| 評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
|---|---|---|
| 平時成績平時成績 Regular achievements |
10 | |
| 課堂練習與作業課堂練習與作業 Classroom practice and practice |
25 | |
| 期中報告期中報告 Midterm Report |
25 | |
| 期末專題與報告期末專題與報告 Final topics and reports |
40 |
