CSCI350
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Computer Vision & Machine Learning
Course Description
This course introduces the fields of Computer Vision and Machine Learning. Computer Vision concepts covered include basic image processing techniques such as histogram normalization, color transformation, and filtering, and extraction techniques such as HOG, LBP, and SIFT. Machine Learning concepts such as clustering and deep neural networks are also introduced. Prerequisite: CSCI 212 (Experience with Python desirable).
Units
0
Credit Hours Max
4
Repeatable
Yes