CSC 470 Computer Vision and Image Analysis
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
CSC 420 with a minimum grade of C.