Demystifying Deep Learning: A Learning Application for Beginners to Gain Practical Experience
| dc.contributor.author | Schultze, Sven | |
| dc.contributor.author | Gruenefeld, Uwe | |
| dc.contributor.author | Boll, Susanne | |
| dc.contributor.editor | Hansen, Christian | |
| dc.contributor.editor | Nürnberger, Andreas | |
| dc.contributor.editor | Preim, Bernhard | |
| dc.date.accessioned | 2020-08-18T15:19:48Z | |
| dc.date.available | 2020-08-18T15:19:48Z | |
| dc.date.issued | 2020 | |
| dc.description.abstract | Deep learning has revolutionized machine learning, enhancing our ability to solve complex computational problems. From image classification to speech recognition, the technology can be beneficial in a broad range of scenarios. However, the barrier to entry is quite high, especially when programming skills are missing. In this paper, we present the development of a learning application for beginners that is easy to use, yet powerful enough to solve practical deep learning problems.We followed the human-centered design approach and conducted a technical evaluation to identify solvable classification problems. In the future, we plan to conduct a user study to evaluate our learning application online. | en |
| dc.identifier.doi | 10.18420/muc2020-ws111-334 | |
| dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/33509 | |
| dc.language.iso | en | |
| dc.publisher | Gesellschaft für Informatik e.V. | |
| dc.relation.ispartof | Mensch und Computer 2020 - Workshopband | |
| dc.relation.ispartofseries | Mensch und Computer | |
| dc.subject | deep learning | |
| dc.subject | machine learning | |
| dc.subject | explainable | |
| dc.subject | education | |
| dc.title | Demystifying Deep Learning: A Learning Application for Beginners to Gain Practical Experience | en |
| dc.type | Text/Workshop Paper | |
| gi.citation.publisherPlace | Bonn | |
| gi.conference.date | 6.-9. September 2020 | |
| gi.conference.location | Magdeburg | |
| gi.conference.sessiontitle | MCI-WS02: UCAI 2020: Workshop on User-Centered Artificial Intelligence | |
| gi.document.quality | digidoc |
Dateien
Originalbündel
1 - 1 von 1