263-3210-00L  Deep Learning

Semester Autumn Semester 2016
Lecturers T. Hofmann
Periodicity yearly course
Language of instruction English
Comment Number of participants limited to 120.

Abstract Deep learning is an area within machine learning that deals with algorithms and models that automatically induce multi-level data representations.
Objective 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.
Prerequisites / Notice 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.