本課程以專題實作主軸，相關理論的研讀為輔。實作的主題包括：數據分析、機器學習、機械手臂路徑控制等。課程的進行方式包括：
1. 理論研讀
2. 文獻報告
3. 實作討論
歡迎有興趣的大學部同學選修（建議先與找授課教師討論）。This course is based on topics and the study of relevant theories. The themes of the work include: data analysis, machine learning, mechanical arm path control, etc. The courses are carried out in:
1. Theoretical study
2. Documentary Report
3. Practical discussion
Interested college students are welcome to choose (it is recommended to discuss with the teacher first).
1. Deep learning with Python, Francois Chollet, 2018, Nanning Publication.
2. Deep Learning (Adaptive Computation and Machine Learning series), Ian Goodfellow, Yoshua Bengio and Aaron Courville, The MIT Press (November 18, 2016).
3. 機器學習（參考書籍 2. 的中譯本）
1. Deep learning with Python, Francois Chollet, 2018, Nanning Publication.
2. Deep Learning (Adaptive Computation and Machine Learning series), Ian Goodfellow, Yoshua Bengio and Aaron Courville, The MIT Press (November 18, 2016).
3. Machine Learning (refer to the Chinese translation of Book 2.)
| 評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
|---|---|---|
| 口頭報告口頭報告 Oral Report |
40 | 文獻報告 |
| 實作實作 |
60 | 專題實作報告 |
