Advances in Artificial Neural Networks
Seminar an der Universität des Saarlandes, Fachrichtung Informatik, LVst 102658
Scope:
This seminar is concerned with advances in artificial neural networks (ANNs) known as deep learning. We will take a closer look at selected methods and applications of deep learning with different types of ANNs, such as multi-layer perceptrons, deep belief networks, recurrent neural networks, convolutional neural networks, and generative adversarial networks.
The seminar type is classic in the sense that registered participants will present the assigned topics, and discuss the strength and weaknesses of presented approaches. All certificates for successful participation in the seminar will be marked. The seminar counts 7 ECTS credit points.
Prerequisites:
This seminar aims primarily at advanced master students in computer science who preferably hold a B.Sc. degree in this or related field. Solid knowledge in Artificial Intelligence is required. Selected basic references on deep learning are given on the topic page and expected to be read and utilized by registered participants in due course of their preparation for the seminar. Attendance of the seminar without registration (no presentation and certificate) by anyone who is interested in the topics is, of course, very much welcome but subject to available space. The seminar language is English or German depending on the audience.
Seminar Date and Location:
The seminar is held weekly on Thursday from 4pm to 6pm, at DFKI in room “Turing 1” (NB R +2.30) or room “Leibniz” (AB R +1.29). Both locations can be accessed via the entrance of the DFKI main building D3.2. You may ask at the reception in the lobby of the building for further directions. Please check the seminar schedule regularly for changes. There are no seminar presentations on May 15 (Ascension Day) and June 15 (Corpus Christi).
Registration and Topic Assignment:
For registration requests, please send the following complete (1-6) information to klusch@dfki.de:
(1) Full name (first name, surname); (2) Enrollment number (Matrikulationsnummer); (3) Contact details (email, phone, mail address); (4) Course of studies and number of current semester; (5) List of attended courses and seminars with marks; (6) Preferred available topic (or ordered list of available topics) for a seminar presentation (check selection of available topics). Please note that incomplete registration requests will not be considered.
It is strongly recommended to check the indicated reference papers BEFORE applying for presenting the respective topic at the seminar.
Assignment of topics will be done in the introductory meeting on February 16, 2017, at 4pm at DFKI (Campus Bldg D3.2, Room +2.07 “Bledsoe”) untill all (13) time slots are filled but until April 6, 2017, latest. We initially offer more topics than time slots are available. UPDATE: Registration closed
A notification about your registration request and topic assignment will be sent to you by the seminar leader in reply to your email.
Important: