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Unit of study_

Deep Learning - COMP5329

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.

Classes
Tutorials, Lectures

Assessment
through semester assessment (50%), final exam (50%)

Assumed knowledge
COMP5318

Details

Faculty: Engineering

Semester 1

24 Feb 2020

Department/School: Computer Science
Study Mode: Normal (lecture/lab/tutorial) evening
Census Date: 31 Mar 2020
Unit of study level: Postgraduate
Credit points: 6.0
EFTSL: 0.125
Available for study abroad and exchange: No
Faculty/department permission required? No
Location
Camperdown
More details
Unit of Study coordinator: Chang Xu
HECS Band: 2
Courses that offer this unit

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