COMPX525

Deep Learning

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)

DayStartEndRoomDates
Tue4:00 PM6:00 PMS.1.03Feb 26 - Mar 31
Fri3:00 PM5:00 PMK.G.01Feb 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

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