Seminar Communication Theory (S3/4)
Seminar on Deep Learning - Methodologies and Applications
Dates
Deadline for the application procedure in the campus system is 09.04.2018.
The introductory meeting takes place on Thursday, 12.04.2018, 10 am, in room 333, ICT cubes, Kopernikusstraße 16.
Content
We offer a block seminar on the topic "Seminar on Deep Learning - Methodologies and Applications" covering the categories:
- Neural Networks & Bio-inspired Information Processing,
- Deep Learning & Methodologies,
- Applications of Machine Learning and Deep Learning.
More topics of the chair’s research areas:
- Full-duplex,
- Surveys.
Prerequisites
A successful participation in at least one course offered by the Chair of Theoretical Information Theory. (Decision on admission in individual cases.)
Aims
Students learn to work autonomously by dealing with a scientific topic of interest for the institute. Normally, a current research paper is thoroughly worked through. Background material is carefully prepared and missing details are provided by the student. Also literature surveys may be composed. Moreover, simulations may be implemented and evaluated. This work will be documented in a student report and presented to other seminarians and colleagues by using modern presentation techniques.
Exam
Transcript after successful participation (written report and presentation).
Introductory Meeting
On this event the prerequisites will be checked, topics will be distributed, and a general introduction to the course and the requirements of the seminar will be given.
Consultation hours
Dr. Michael Reyer upon agreement
Maintained by:
Detlef Maus,
Ansgar Johannes Pflipsen
Design by: Peter Schwabe
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