Historical snapshot — AY2022/2023 Semester 1 · View current offering →
ModsMH3520AY2022/2023 Semester 1
Mathematics Of Deep Learning
AY2022/2023 Semester 1
This course investigates deep learning from the perspectives of several mathematical theories: numerical optimisation, statistical learning, function approximation, and coding theory. The aim is to shed some light on why and under what circumstances deep learning can be expected to work well - or not.
| AUs | 4.0 AUs |
| Categories | CoreBDE |
| Exam |
Available Indexes
| Mon | Tue | Wed | Thu | Fri | |
|---|---|---|---|---|---|
| 830 | COMMON LEC (LE) 0830-1020 Thu SPMS-LT2 | ||||
| 900 | |||||
| 930 | |||||
| 1000 | |||||
| 1030 | |||||
| 1100 | |||||
| 1130 | |||||
| 1200 | |||||
| 1230 | |||||
| 1300 | |||||
| 1330 | |||||
| 1400 | |||||
| 1430 | COMMON LEC (LE) 1430-1520 Fri SPMS-LT5 | ||||
| 1500 | |||||
| 1530 | 70275 TUT (T) 1530-1620 Fri SPMS-LT5 Wk2-13 | ||||
| 1600 |