课程资讯
| 学年/学期 | 113/1 | ||||||||
| 授课教师 | 龚于农 | ||||||||
| 开课单位 | 生医所博士班 | ||||||||
| 年级-班别 | 1-甲 | ||||||||
| 科目代号(学分) | BMD670(2) | ||||||||
| 课程名称 | 深度学习与笔测迟丑辞苍语言 | ||||||||
| 开课序号 | 64292 | ||||||||
| 主要开课序号 | 62566 | ||||||||
| 修课学生 | 本校:&苍产蝉辫;2人；外校:&苍产蝉辫;0人 | ||||||||
| 人数限制 | 2~30 | ||||||||
| 上课时间地点 |
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| 核心能力 | |||||||||
| 备註 |
教学大纲
| 教科书 | No textbooks are required in this course. |
| 教科书ISBN | 0000000000 |
| 参考书 | No textbooks are required in this course. |
| 课程讲义网址 | E-Learning |
| 整体教学目标 | This course trains students to have the concept of computational thinking and object-oriented programming. Taking viral and biomedical applications as examples, students will understand the fundamentals of machine and deep learning and the practice of model building. |
| 教学方法 | Lecture slides will be prepared for students and uploaded to 91猫先生’s E-Learning platform. Classes will be conducted in computer laboratory. Consider this is a graduate-level course, literature covering up-to-date research activities in this field will be shared and discussed with students. Final presentation will be conducted for assessing students' comprehension on these subjects. Quiz and homework will be distributed too. |
| 课程介绍 | 课程内容先介紹運算思維與Python程式語言，接著讓學生了解神經網路中的數學概念，以及機器與深度學習的基礎理論與模型建立之實務。 |
| 弹性学习 | Group discussion of scientific papers (2024-12-25) Ext: #3040; Email: yngong@mail.cgu.edu.tw |
| 成绩考核 | 1. Project presentation (40%) 2. Project proposal (20%) 3. Quizzes and homework (20%) 4. Class participation (20%) |
| 师生互动时间 | Friday 13:00-15:00; Ext: #3040; Email: yngong@mail.cgu.edu.tw |
教学进度
| 项次 | 教学主题 |
|---|---|
| 1 | Course introduction Lecturer: Yu-Nong Gong 龚于农 |
| 2 | Python basics (1) Lecturer: Yu-Nong Gong 龚于农 |
| 3 | Python basics (2) Lecturer: Yu-Nong Gong 龚于农 |
| 4 | Introduction of deep learning Lecturer: Yu-Nong Gong 龚于农 |
| 5 | Neural networks Lecturer: Yu-Nong Gong 龚于农 |
| 6 | Fundamentals of machine learning Lecturer: Yu-Nong Gong 龚于农 |
| 7 | Advanced practices of machine and deep learning Lecturer: Yu-Nong Gong 龚于农 |
| 8 | Project proposal Lecturer: Yu-Nong Gong 龚于农 |
| 9 | Deep learning in computer vision (1) Lecturer: Yu-Nong Gong 龚于农 |
| 10 | Deep learning in computer vision (2) Lecturer: Yu-Nong Gong 龚于农 |
| 11 | Deep learning for text and sequence data (1) Lecturer: Yu-Nong Gong 龚于农 |
| 12 | Deep learning for text and sequence data (2) Lecturer: Yu-Nong Gong 龚于农 |
| 13 | Advanced practices Lecturer: Yu-Nong Gong 龚于农 |
| 14 | More advanced practices Lecturer: Yu-Nong Gong 龚于农 |
| 15 |
Group discussion Lecturer: Yu-Nong Gong 龚于农
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| 16 | Project presentation Lecturer: Yu-Nong Gong 龚于农 |
先修课程
| 本課程沒有先修课程規定 |
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