Web-based prototype of a visual and interactive deep learning simulation
| dc.contributor.author | Koch, Christian | |
| dc.contributor.author | Salmen, Frederic | |
| dc.contributor.author | Schroeder, Ulrik | |
| dc.contributor.editor | Schulz, Sandra | |
| dc.contributor.editor | Kiesler, Natalie | |
| dc.date.accessioned | 2024-09-03T16:26:20Z | |
| dc.date.available | 2024-09-03T16:26:20Z | |
| dc.date.issued | 2024 | |
| dc.description.abstract | Due to its rapid development and growing relevance in society, the research field of artificial intelligence (AI) is finding its way into more and more schools. One subsection of artificial intelligence, deep learning, is especially relevant since most of the rapid development of the study field in recent years can be attributed to it. Because of its complex nature, deep learning is very suitable to be taught in a visual and interactive way, which can benefit learning outcomes. Existing solutions can convey basic knowledge about deep learning, but none of them are well suited to customization or facilitating deep understanding. We introduce a visual and interactive deep learning simulation with rich possibilities for personalization by teachers and students, usable in any web context. | en |
| dc.identifier.doi | 10.18420/delfi2024_48 | |
| dc.identifier.eissn | 2944-7682 | |
| dc.identifier.issn | 2944-7682 | |
| dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/44532 | |
| dc.language.iso | en | |
| dc.pubPlace | Bonn | |
| dc.publisher | Gesellschaft für Informatik e.V. | |
| dc.relation.ispartof | Proceedings of DELFI 2024 | |
| dc.relation.ispartofseries | DELFI | |
| dc.subject | Explorables | |
| dc.subject | neural networks | |
| dc.subject | simulations | |
| dc.title | Web-based prototype of a visual and interactive deep learning simulation | en |
| dc.type | Text/Conference demo | |
| mci.conference.date | 09.-11. September 2024 | |
| mci.conference.location | Fulda | |
| mci.conference.sessiontitle | Demo und Poster Session | |
| mci.document.quality | digidoc | |
| mci.reference.pages | 499-504 |
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