Master Seminar "Deep Learning" (WS 2017/18)
- Contact: Prof. Dr. Matthias Schubert, Evgeniy Faerman, Felix Borutta
- Required: Lecture "Knowledge Discovery in Databases I" and Lecture "Machine Learning" or equivalent
Please indicate in the central registration form in uniworx in which semesters you had attended these courses.
- Registration: Uniworx
- Audience: The lecture is directed towards Master students in Mediainformatics, Bioinformatics and Informatics as well as Data Science
Time and Locations
|Introduction||Thu, 16.00 - 18.00 h||Room 165 (Oettingenstr. 67)||19.10.2017|
The availability of large amounts of data and increased computational power enabled the renaissance of neural networks as an universal paradigm for machine learning.
Neural networks especially profited from the recent developments because the new conditions enabled the training of deep architectures stacking large amounts of hidden layers. In this seminar, students will discuss fundamental works in the quickly evolving area of deep learning and will venture into the state-of-the-art of this exciting development.
In the first part of the seminar participants build teams of 4-5 people and each team is assigned with a general topic. Each team will give an one hour presentation about their topic. Example topics are Recurrent or Convolution Architectures. In the second part of the seminar, each participant presents a particular paper individually.