This paper provides an introduction into Deep Learning, focussing on both algorithms and applications. It covers both the basics of Neural networks and current mainstream and advanced Deep Learning technology.
Paper Information
| Points: | 15.0 |
|---|---|
| Prerequisite(s): | COMPX310 |
| Internal assessment / examination: | 100:0 |
Trimesters and Locations
| Occurrence Code | When taught | Where taught |
|---|---|---|
| 24A (HAM) | A Trimester : 26 Feb 2024 - 23 Jun 2024 | Hamilton |
Timetabled Lectures for Deep Learning (COMPX525)
| Day | Start | End | Room | Dates |
|---|---|---|---|---|
| Tue | 4:00 PM | 6:00 PM | S.1.03 | Feb 26 - Mar 31 |
| Fri | 3:00 PM | 5:00 PM | K.G.01 | Feb 26 - Mar 24 |
NB:There may be other timetabled events for this paper such as tutorials or workshops.
Visit the online timetable for COMPX525 for more details
Indicative Fees
Fees for 2024 are not yet available.
Paper Outlines
The following 2023 paper outlines are available for COMPX525. Please contact the Faculty or School office for details on 2024 outlines.
Additional Information
Available Subjects: Artificial Intelligence | Computer Science | Electrical and Electronic Engineering | Mechatronics Engineering | Software Engineering
Other available years: Deep Learning - COMPX525 (2023) , Deep Learning - COMPX525 (2022)
Paper details current as of : 3 October 2023 8:50am
Indicative fees current as of : 5 October 2023 4:30am