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 for Deep Learning (COMPX525)
The following paper outlines are available for Deep Learning (COMPX525).
If your paper occurrence is not listed contact the Faculty or School office.
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 : 21 March 2023 10:02am
Indicative fees current as of : 29 March 2023 4:30am