Model-Based Deep Learning with Applications to Imaging - Yonina Eldar, PhD

This course on model-based deep learning with applications to imaging aims to teach learners the latest advancements in AI and Data Science. The course focuses on merging parametric models with optimization tools to develop efficient and interpretable deep networks. The key topics covered include the Deep Learning Revolution, ISTA Algorithm, ReST, applications in imaging and ultrasound, Covid19 detection, SUPARCOM, and LUSIL. The teaching method involves a video lecture format with a duration of 37 minutes. This course is intended for individuals interested in deep learning, imaging, signal processing, and AI applications.