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.
| Academic Units | 4 |
| Exam Schedule | Thu Nov 27 2025 00:00:00 GMT+0000 (Coordinated Universal Time) 09:00-11:00 |
| Grade Type | Letter Graded |
| Department Maintaining | MATH(SPS) |
| Prerequisites |
| Index | Type | Group | Day | Time | Venue | Remark |
|---|---|---|---|---|---|---|
| 70282 | LEC/STUDIO | LE | THU | 1330-1420 | SPMS-LT4 | |
| 70282 | LEC/STUDIO | LE | TUE | 1530-1720 | SPMS-LT4 | |
| 70282 | TUT | T | THU | 1430-1520 | SPMS-LT4 |
0930
1030
1130
1230
1330
1430
1530
1630
1730
MH3520
LEC/STUDIO | SPMS-LT4
MH3520
LEC/STUDIO | SPMS-LT4
MH3520
TUT | SPMS-LT4
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