Dr.-Ing. Tim Dahmen - Deutsches Forschungszentrum für Künstliche Intelligenz GmbH
Dr.-Ing. Dominik Britz - Material Engineering Center Saarland (MECS)
Prof. Dr.-Ing. Frank Mücklich - Universität des Saarlandes
Martin Müller - Universität des Saarlandes
Prof. Dr. Stefan Sandfeld - Forschungszentrum Jülich GmbH
-After a short introduction, which is not mathematically in-depth, application examples of Deep Learning are developed together.
You will learn how to implement and apply neural networks with the help of Python and suitable libraries. The focus is on the independent application of the developed models.
By executing and modifying the provided scripts on your own, you will be able to directly apply the acquired knowledge in practice.
After participation, you will know the possibilities and problems of machine learning, so that you can efficiently transfer and adapt the learned contents to your own data.
Ideal prerequisites for successful participation in the training course are basic programming skills in Python, Matlab or other programming languages. The previous knowledge includes: variables and associated arithmetic operations, functions, case distinctions, control structures. Basic knowledge of mathematics is also helpful. For example, you should have an idea about the keywords vector, linear dependence, gradient and non-linearity.
Full list of associated Training Courses:
07 - 11 March 2022 (in German)
16 - 20 May 2022 (in German)
14 - 16 September 2022 in Saarbrücken (in German)
Information on participating / attending:
Registered participants will receive the access link to the training by e-mail a few days before the event.
The participation fees include training materials, which the registered participants will receive a few days before the event by mail.
Required software tools for participation: PUTTY (installation instructions will be sent to participants shortly before the training)
10/19/2022 09:00 - 10/21/2022 13:00
Frankfurt am Main
Frankfurt am Main
Business and commerce, Scientists and scholars
Information technology, Materials sciences
Types of events:
Presentation / colloquium / lecture, Seminar / workshop / discussion
Kommunikation & Medien
Event is free:
Language of the text:
URL of this event: http://idw-online.de/en/event70577
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