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.
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LECTURE X01
(51691) |
150 |
2024-09-03 - 2024-12-09 (W)
17:00 - 19:50
CCIS 1-160
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| Section | Capacity | Class times | Instructor(s) |
|---|---|---|---|
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LAB X02
(51692) |
32 |
2024-09-03 - 2024-12-09 (M)
17:00 - 19:50
CSC 1-59
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LAB X03
(51693) |
118 |
2024-09-03 - 2024-12-09 (F)
14:00 - 16:50
CSC B-02
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