Machine Learning Design Application
AY2024/2025 Semester 2
This course aims to provide you with the foundation theories and practical experiences of Artificial Intelligence (Al), machine learning and neural networks. It will introduce several state-of-the-art neural networks architectures as well as their implementations. Students who are interested in Al and their applications are encouraged to take this course. The course will equip you with theories and hands-on experiences to advance your future career in Al and machine learning.
| AUs | 3.0 AUs |
| Categories | CoreBDE |
| Exam |
Available Indexes
| Mon | Tue | Wed | Thu | Fri | |
|---|---|---|---|---|---|
| 930 | |||||
| 1000 | |||||
| 1030 | |||||
| 1100 | |||||
| 1130 | |||||
| 1200 | |||||
| 1230 | |||||
| 1300 | |||||
| 1330 | |||||
| 1400 | |||||
| 1430 | |||||
| 1500 | |||||
| 1530 | |||||
| 1600 | |||||
| 1630 | |||||
| 1700 | |||||
| 1730 | |||||
| 1800 |