Note: More information will become available after 2020-12-31

COMP5329: Deep Learning (2020 - Semester 1)

Unit: COMP5329: Deep Learning (6 CP)
Mode: Normal-Evening
On Offer: Yes
Level: Postgraduate
Faculty/School: School of Computer Science
Unit Coordinator/s: Xu, Chang
Session options: Semester 1
Versions for this Unit:
Site(s) for this Unit:
Campus: Camperdown/Darlington
Pre-Requisites: None.
Brief Handbook Description: This course provides an introduction to deep 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 deep 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, and diverse applications of deep learning in computer vision.
Assumed Knowledge: COMP5318.