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.
Unit details and rules
Academic unit | Computer Science |
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Credit points | 6 |
Prerequisites
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None |
Corequisites
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None |
Prohibitions
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COMP5329 or COMP4329 |
Assumed knowledge
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OCMP5318 or COMP5318 or COMP4318 |
Available to study abroad and exchange students | No |
Teaching staff
Coordinator | Nataliia Stratiienko, nataliia.stratiienko@sydney.edu.au |
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