Computer Vision

Catalog description

Students learn the basics of image processing and how spatial patterns/features are captured via convolutional filters. They learn the concepts of transfer learning, data augmentation, generative adversarial networks, and the application of neural networks in object detection and image segmentation and processing in specific verticals. Students complete a significant term project.