SYDE 670 - Deployment of Deep Learning Models

This course focuses on the deployment of computer vision networks for real-world applications. Students will gain practical knowledge on various computer vision tasks such as semantic segmentation, object detection, optical flow, and depth estimation. The course covers all critical aspects from selecting appropriate network architectures, data preparation and handling, to deployment on edge devices. The course also delves into infrastructure setup, training, and model compression techniques to ensure efficient deployment. By the end of the course, practitioners will be equipped with the skills needed to devise, implement, and maintain robust computer vision solutions in diverse real-world scenarios.