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Unit of study_

COMP4329: Deep Learning

This course provides an introduction to deep machine learning, which is rapidly emerging as one of the most successful and widely applicable set of techniques across a range of applications. Students taking this course will be exposed to cutting-edge research in machine learning, starting from theories, models, and algorithms, to implementation and recent progress of deep learning. Specific topics include: classical architectures of deep neural network, optimization techniques for training deep neural networks, theoretical understanding of deep learning, and diverse applications of deep learning in computer vision.

Code COMP4329
Academic unit Computer Science
Credit points 6
Prerequisites:
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COMP3308 or COMP3608 or COMP4318 or BMET2925
Corequisites:
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Enrolment in a thesis unit. INFO4001 or INFO4911 or INFO4991 or INFO4992 or AMME4111 or BMET4111 or CHNG4811 or CIVL4022 or ELEC4712 or COMP4103 or SOFT4103 or DATA4103 or ISYS4103
Prohibitions:
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COMP5329 OR OCMP5329

The learning outcomes for this unit will be available two weeks before the first day of teaching.

Unit outlines

Unit outlines will be available 1 week before the first day of teaching for the relevant session.

There are no unit outlines available online for previous years.