263-3210-00L Deep Learning
Semester | Herbstsemester 2016 |
Dozierende | T. Hofmann |
Periodizität | jährlich wiederkehrende Veranstaltung |
Lehrsprache | Englisch |
Kommentar | Maximale Teilnehmerzahl: 120 |
Kurzbeschreibung | Deep learning is an area within machine learning that deals with algorithms and models that automatically induce multi-level data representations. |
Lernziel | In recent years, deep learning and deep networks have significantly improved the state-of-the-art in many application domains such as computer vision, speech recognition, and natural language processing. This class will cover the fundamentals of deep learning and provide a rich set of hands-on tasks and practical projects to familiarize students with this emerging technology. |
Voraussetzungen / Besonderes | The participation in the course is subject to the following conditions: 1) The number of participants is limited to 120 students (MSc and PhDs). 2) Students must have taken the exam in Machine Learning (252-0535-00) or have acquired equivalent knowledge. |