2020W
Martin Gasser
Institut für Kunst und Gesellschaft, Cross-Disciplinary Strategies
2021S, Vorlesung und Übungen (VU), 1.0 ECTS, 1.0 SemStd., LV-Nr. S03557
We will have an in-depth look at the basic ideas and problems in Machine Learning (ML) and AI by training neural networks in the web application Teachable Machine. How do we collect and prepare training data? How do we check whether the algorithm is actually learning what it is supposed to learn? What types of bias could degrade the performance of an ML algorithm, and what could be the consequences if algorithms are deployed in the real world?
Moreover, we will integrate ML algorithms with a simple interactive application in the development environment p5.js. Here, the focus will be on producing sound/musical output in response to visual cues that the algorithm will detect from a webcam video stream. We will therefore also look into the basics of sound synthesis within p5.js/JavaScript. Your creativity is welcome in this task!
This course will be held in close collaboration with „Introduction to Coding“. It is strongly recommended to attend both courses.
05. März 2021, 12:45–13:30
12. März 2021, 12:45–13:30
19. März 2021, 12:45–13:30
26. März 2021, 12:45–13:30
16. April 2021, 12:45–13:30
23. April 2021, 12:45–13:30
30. April 2021, 12:45–13:30
07. Mai 2021, 12:45–13:30
21. Mai 2021, 12:45–13:30
28. Mai 2021, 12:45–13:30
04. Juni 2021, 12:45–13:30
11. Juni 2021, 12:45–13:30
18. Juni 2021, 12:45–13:30
25. Juni 2021, 12:45–13:30
Von 01. Februar 2021, 09:31 bis 31. März 2021, 00:00
Per Online Anmeldung
Mitbelegung: möglich
Besuch einzelner Lehrveranstaltungen: möglich