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
23A (HAM)A Trimester : 27 Feb 2023 - 25 Jun 2023 Hamilton

Timetabled Lectures for Deep Learning (COMPX525)

DayStartEndRoomDates
Tue4:00 PM6:00 PMK.G.11Feb 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
You will be sent an enrolment agreement which will confirm your fees.
Tuition fees shown below are indicative only and may change. There are additional fees and charges related to enrolment - please see the Table of Fees and Charges for more information.

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 | Software Engineering

Other available years: Deep Learning - COMPX525 (2022)

Paper details current as of : 25 November 2022 2:42pm
Indicative fees current as of : 30 November 2022 4:32am

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