Deep Learning - COMPX525 (2023)
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 |
|---|---|---|
| 23A (HAM) | A Trimester : 27 Feb 2023 - 25 Jun 2023 | Hamilton |
Timetabled Lectures for Deep Learning (COMPX525)
| Day | Start | End | Room | Dates |
|---|---|---|---|---|
| Tue | 4:00 PM | 6:00 PM | K.G.11 | Feb 27 - Jun 4 |
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 for Deep Learning (COMPX525)
| Occurrence | Domestic | International | |
|---|---|---|---|
| Tuition | Resource | ||
| 23A (HAM) | $1111 | $4875 | |
Paper Outlines
The following 2022 paper outlines are available for COMPX525. Please contact the Faculty or School office for details on 2023 outlines.
Additional Information
Available Subjects: Artificial Intelligence | Computer Science | Electrical and Electronic Engineering | Mechatronics Engineering | Software Engineering
Other available years: Deep Learning - COMPX525 (2022)
Paper details current as of : 2 February 2023 8:51am
Indicative fees current as of : 4 February 2023 4:30am