111年第2學期-5570 深度與強化學習 課程資訊

評分方式

評分項目	配分比例	說明
Participation	10
Homework	20
Midterm project	30	Kaggle competition
Final project	30	Applications in industrial engineering
Final report	10

教育目標

The course objectives are to introduce concepts and approaches of deep and reinforcement learning as well as the related applications about industrial engineering. We expect that students can further apply the approaches introduced in the course into their study and future works.

基本資料

選修課，學分數：0-3
上課時間：四/5,6,7[H122]
修課班級：工工碩博1,2
修課年級：1年級以上
選課備註：GE7106

參考書目

Zhang, A., Lipton, Z. C., Li, M., & Smola, A. J. (2021). Dive into deep learning. arXiv preprint arXiv:2106.11342.
Krohn, J., Beyleveld, G., & Bassens, A. (2019). Deep learning illustrated: a visual, interactive guide to artificial intelligence. Addison-Wesley Professional.
Zai, A., & Brown, B. (2020). Deep reinforcement learning in action. Manning Publications.