Course Description
Computer Vision is the study of how computers extract information from images. In this course students will learn about various ways to represent visual information, including pixels, spatial frequencies, and feature vectors. Students will also explore the structure and function of convolutional neural networks and gain intuition for the latent space remapping that arises from the trained network weights. Additional topics may include transformers, attention, and generative techniques.
College/School
Willamette College
Locations
Salem
Offering Cycle, by Year
All Years
Offering Cycle, by Semester
Fall Semester
Credit Hours Min
4
Prerequisites
Complete course, or have instructor consent.