COM SCI 163 · CS 163Deep Learning for Computer Vision
Computer Science · 4 units · Undergraduate upper division (100-199)
Computer vision has been a core field of artificial intelligence, facilitating a wide range of applications from image search to self-driving. The progress of deep learning has greatly advanced the performance of visual tasks like visual recognition and image generation. Study of deep learning approaches for computer vision. Students learn to implement and tune the deep neural networks used in various computer vision, such as visual recognition and image generation. Covers learning algorithms, neural architecture design, and practical skills of training and debugging neural networks.
Letter grading.
When it runs
- Fall 2025
- Fall 2026
Scheduled, not typical — from UCLA’s Schedule of Classes, which publishes Fall 2025 through Spring 2027 and nothing before it.
Requisites
Official UCLA wording
Requisite: one course from course C124, 145, M146, M148, 161, 162, Electrical and Computer Engineering C147, or 149.
BruinTree reads · Prerequisite
needs reviewconfidence 0.80 · from UCLA’s structured data- · "EC ENGR C147" is not in this catalog version
- · "EC ENGR 149" is not in this catalog version
Requires
Everything that has to come before this course, not just the courses named in the requisite above.
COM SCI 163
- COM SCI C124Machine Learning Applications in Genetics
- COM SCI 32Introduction to Computer Science II
- C&EE 110Introduction to Probability and Statistics for Engineers
- COMPTNG 10CAdvanced Programming
- EC ENGR 131AProbability and Statistics
- COM SCI 145Introduction to Data Mining
- COM SCI M146Introduction to Machine Learning
- MATH 33ALinear Algebra and Applications
- STATS 100AIntroduction to Probability
- MATH 170EIntroduction to Probability and Statistics 1: Probability
- COM SCI M148Introduction to Data Science
- COM SCI 31Introduction to Computer Science I
- COMPTNG 10AIntroduction to Programming
- MATH 170AProbability Theory I
- MATH 131AAnalysis
- COMPTNG 10BIntermediate Programming
- COM SCI 161Fundamentals of Artificial Intelligence
- COM SCI 180Introduction to Algorithms and Complexity
- COM SCI 162Natural Language Processing
- COM SCI 35LSoftware Construction
6 direct requisites. Showing 52 courses over 3 levels; the branches marked with a count carry on past it. Every course here opens its own tree.
Unlocks
What this course is a requisite for, and what those courses lead to in turn.
No course in the catalog lists this as a requisite.