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AY2024/2025 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 |
| Mon | Tue | Wed | Thu | Fri | |
|---|---|---|---|---|---|
| 1330 | COMMON LEC (LE) 1330-1420 Thu SPMS-LT4 | ||||
| 1400 | |||||
| 1430 | 70282 TUT (T) 1430-1520 Thu SPMS-LT4 | ||||
| 1500 | |||||
| 1530 | COMMON LEC (LE) 1530-1720 Tue SPMS-LT4 | ||||
| 1600 | |||||
| 1630 | |||||
| 1700 |
