Historical snapshot — AY2025/2026 Semester 1 · View current offering →
ModsMH3520AY2025/2026 Semester 1
Mathematics Of Deep Learning
AY2025/2026 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 | CoreMinorsBDE |
| Exam |
Available Indexes
| Mon | Tue | Wed | Thu | Fri | |||
|---|---|---|---|---|---|---|---|
| 1330 | COMMON LEC (LE) 1330-1420 Thu SPMS-LT4, ONLINE Wk1-9,11-13, Teaching Wk10 | COMMON LEC (LE) 1330-1420 Thu SPMS-LT4, ONLINE Wk1-9,11-13, Teaching Wk10 | |||||
| 1400 | |||||||
| 1430 | 70282 TUT (T) 1430-1520 Thu SPMS-LT4, ONLINE Wk1-9,11-13, Teaching Wk10 | 70282 TUT (T) 1430-1520 Thu SPMS-LT4, ONLINE Wk1-9,11-13, Teaching Wk10 | |||||
| 1500 | |||||||
| 1530 | COMMON LEC (LE) 1530-1720 Tue ONLINE, SPMS-LT4 Wk10, Teaching Wk1-9,11-13 | COMMON LEC (LE) 1530-1720 Tue ONLINE, SPMS-LT4 Wk10, Teaching Wk1-9,11-13 | |||||
| 1600 | |||||||
| 1630 | |||||||
| 1700 | |||||||