Course Descriptions
Computer Science
CSC 470
Computer Vision and Image Analysis
3 credits
This course reviews the fundamental techniques and tools required to train a deep learning model and learn the basics of computer vision. Students will gain experience with common deep-learning data types and model architectures. As well as enhancing datasets through data augmentation to improve model accuracy. Students will compare image segmentation with other computer vision problems. In addition, students will experiment with tools to implement effective metrics for assessing model performance.
Prerequisite(s): CSC 430 with a minimum grade of C.