EE 267 - Computer Vision with Artificial Intelligence Applications

3 unit(s)
Fundamental concepts of computer vision and image processing with applications in artificial intelligence (AI). The course first covers basic techniques of digital image processing and computer vision, including image convolution, transformation, segmentation, and pattern recognition. In connection with these techniques, the theory of Convolutional Neural Network (CNN) and related DNN is covered, with AI applications including object recognition and scene understanding for various autonomous systems.

Prerequisite(s): Graduate Standing or instructor consent.
Grading: Letter Graded

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