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Overview

This course exposes engineering, computer science, and cyber security students to the different aspects of Deep Learning including Optimisation Formulation and Algorithms for Training and Regularisation, Deep Feedforward Networks, Convolution Networks, Recurrent and Recursive Networks, Deep Reinforcement Learning, AutoEncoders, Deep Generative Models, and applications in image and video processing, timeseries … For more content click the Read More button below.

Delivery

In-person - Intensive

In-person - Standard (usually weekly or fortnightly)

Please note that the above delivery information is an indication on how this course may be delivered within the year.  Delivery mode(s) for each term can be viewed on other sources such as myUNSW and class timetable site.

This Handbook is a comprehensive catalogue of our offerings and includes courses that can be taken to satisfy program requirements irrespective as to their availability for a particular year. Availability of courses is best checked using filters on this site or on the class timetable site.

Pre-2019 Handbook Editions

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Pre-2019 Handbook Editions