CMPUT 328 - Visual Recognition

3 units (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 175 or 275; one of MATH 100, 114, 117, 134, 144, or 154; one of MATH 102, 125, or 127; and one of STAT 151, 161, 181, 235, 265, SCI 151, or MATH 181.

No syllabi

Fall Term 2024

Lectures

Section Capacity Class times Login to view Instructor(s) and Location
LECTURE X01
(51691)
150
2024-09-03 - 2024-12-09 (W)
17:00 - 19:50

Labs

Section Capacity Class times Login to view Instructor(s) and Location
LAB X02
(51692)
32
2024-09-03 - 2024-12-09 (M)
17:00 - 19:50
LAB X03
(51693)
118
2024-09-03 - 2024-12-09 (F)
14:00 - 16:50