Deep Learning for Anomaly Detection - Expanding Our Marker Vocabulary
Institute for Pure & Applied Mathematics (IPAM) via YouTube
Overview
This course aims to teach learners how to apply deep learning techniques for anomaly detection in medical applications. The course focuses on expanding the vocabulary of markers used for anomaly detection. The skills taught include understanding deep learning concepts, applying them to medical data, and expanding marker vocabulary for anomaly detection. The teaching method involves lectures and practical examples. This course is intended for individuals interested in deep learning applications in the medical field, particularly in anomaly detection.
Syllabus
Georg Langs: "Deep learning for anomaly detection: expanding our marker vocabulary"
Taught by
Institute for Pure & Applied Mathematics (IPAM)