Application of Deep Learning in Computer Vision

6 credits

This course explores the application of deep learning techniques in the field of Computer Vision, especially in the areas of object recognition, structured predictions and unsupervised deep learning. This course includes the fundamentals of computer vision such as image formation, feature detection, motion estimation, tracking, image classification and scene understanding. *Note: Students may receive credit for one of ENSE 812, ENSE 885AY, or ENIN 880CD.*