CMPUT 328 - Visual Recognition

★ 3 (fi 6)(EITHER, 3-0-3)

Faculty of Science

Introduction to visual recognition to recognize objects and classify scenes or images automatically by a computer. Supervised and unsupervised machine learning principles and deep learning techniques will be utilized for visual recognition. Successful commercial systems based on visual recognition range from entertainment to serious scientific research: face detection and recognition on personal devices, social media. Prerequisites: CMPUT 115 or 175; one of MATH 100, 113, 114, 117, 134, 144, 154; MATH 125; STAT 141, 151 or 235.

No syllabi

Fall Term 2023

Lectures

Section Capacity Class times Instructor(s)
LECTURE X01
(87039)
120
2023-09-05 - 2023-12-08 (W)
17:00 - 19:50
NRE 2-003
Primary Instructor: Nilanjan Ray

Labs

Section Capacity Class times Instructor(s)
LAB X02
(87040)
33
2023-09-05 - 2023-12-08 (M)
17:00 - 19:50
CSC 1-59
LAB X03
(87041)
87
2023-09-05 - 2023-12-08 (F)
14:00 - 16:50
SAB 4-36