263-3210-00L Deep Learning
|Semester||Autumn Semester 2016|
|Periodicity||yearly recurring 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.