LIANG, Chen - HKUST Class Schedule & Quota

Class Schedule & Quota
2025-26 Spring 2025-26 Winter 2025-26 Fall 2024-25 Summer
2025-26 Spring
Common Core Course
The class information on this page will normally be updated every 15 to 20 minutes during class enrollment period.
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This service was first adapted from a student contribution in 2011-12 Fall. The efforts of all concerned are duly acknowledged.

AIAA AMAT BSBE CMAA CNCC CNGF DLED DSAA EOAS FTEC FUNH INFH INTR IOTA IPEN LANG MICS MSSM PDEV PLED ROAS SEEN SMMG SOCH SYSH UCMP UCUG UFUG UGOD

VECTOR	[1-3 credit(s)]
DESCRIPTION	An independent research project carried out under the supervision of a faculty member.

CMAA 6018A - Independent Study (3 units)

Section	Date & Time	Room	Instructor	Quota	Enrol	Avail	Wait	Remarks
R17 (6355)	TBA	No room required	LIANG, Chen	5	4	1	0	research topic: Wearables for Healthcare Instructor Consent Required

COURSE INFO

PRE-REQUISITE	DSAA 2011 or AIAA 3111
DESCRIPTION	This course provides students with an extensive exposure to deep learning. Topics include shallow and deep neural networks, activation functions and rectified linear unit, construction of deep neural networks and matrix representations including deep convolutional neural networks and deep recursive neural networks, computational issues including backpropagation, automatic differentiation, stochastic gradient descent, complexity analysis, approximation analysis including universality of approximation, design of deep neural network architectures and programming according to various applications.

PRE-REQUISITE

DSAA 2011 or AIAA 3111

DESCRIPTION

This course provides students with an extensive exposure to deep learning. Topics include shallow and deep neural networks, activation functions and rectified linear unit, construction of deep neural networks and matrix representations including deep convolutional neural networks and deep recursive neural networks, computational issues including backpropagation, automatic differentiation, stochastic gradient descent, complexity analysis, approximation analysis including universality of approximation, design of deep neural network architectures and programming according to various applications.

DSAA 2012 - Deep Learning (3 units)

Section	Date & Time	Room	Instructor	Quota	Enrol	Avail	Wait	Remarks
L01 (6440)	Tu 09:00AM - 11:50AM	Rm 134, E1	LIANG, Chen	70	59	11	0
LA01 (6441)	Tu 06:00PM - 06:50PM	Rm 134, E1	LIANG, Chen	70	59	11	0