ModsMH3520
Mathematics Of Deep Learning
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 |
| Exam | 28 November 2024, 9.00 am - 11.00 am |
| Grade Type | N/A |
| Maintaining Dept | MATH(SPS) |
| Prerequisites | |
| Mutually Exclusive With | N/A |
| Not Available To Programme | N/A |
| Not Available To All Programme With | N/A |
| Not available as Core for programmes | N/A |
| Not Available as PE for programmes | N/A |
| Not Available as BDE/UEs for programmes | N/A |
| Not Offered To | N/A |
Total hours per week: 4 hrs
Available Indexes
| 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 |