The goal of this course is to provide students with the skills to learn machine learning techniques, enabling them to quickly and systematically grasp the latest trends in artificial intelligence technology and thoroughly understand how artificial intelligence works.
The course will first cover the theory of machine learning, including classification, problem definition, and methods. It will then delve into the important concepts of neural networks, which are at the core of machine learning. This will be accompanied by hands-on examples and self-practice, ensuring not only a deep understanding of the theory but also the practical implementation of neural networks.
The goal of this course is to provide students with the skills to learn machine learning techniques, enabling them to quickly and systematically grasp the latest trends in artistic intelligence technology and thoroughly understand how artistic intelligence works.
The course will first cover the theory of machine learning, including classification, problem definition, and methods. It will then delve into the important concepts of neural networks, which are at the core of machine learning. This will be accompanied by hands-on examples and self-practice, ensuring not only a deep understanding of the theory but also the practical implementation of neural networks.
1.Self-made teaching materials
2.Deep Learning/ ISBN:0262035618/ MIT
3.Pattern Recognition and Machine Learning/ISBN:0387310738 /Springer
1.self-made teaching materials
| 評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
|---|---|---|
| Midterm ExamMidterm Exam midterm exam |
20 | |
| Regular AssignmentsRegular Assignments Regular assignments |
20 | |
| Final ProjectFinal Project Final project |
20 | |
| Attendance Rate and Class PerformanceAttendance Rate and Class Performance attendance rate and class performance |
20 |
