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  • i-com Band 19 (2020) Heft 3
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Demystifying Deep Learning: Developing and Evaluating a User-Centered Learning App for Beginners to Gain Practical Experience

Author:
Schultze, Sven [DBLP] ;
Gruenefeld, Uwe [DBLP] ;
Boll, Susanne [DBLP]
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 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. Afterwards, we conducted an online user evaluation to gain insights on users’ experience with the app, and to understand positive as well as negative aspects of our implemented concept. Our results show that participants liked using the app and found it useful, especially for beginners. Nonetheless, future iterations of the learning app should step-wise include more features to support advancing users.
  • Citation
  • BibTeX
Schultze, S., Gruenefeld, U. & Boll, S., (2021). Demystifying Deep Learning: Developing and Evaluating a User-Centered Learning App for Beginners to Gain Practical Experience.   i-com: Vol. 19, No. 3. Berlin: De Gruyter. (S. 201-213). DOI: 10.1515/icom-2020-0023
@article{mci/Schultze2021,
author = {Schultze, Sven AND Gruenefeld, Uwe AND Boll, Susanne},
title = {Demystifying Deep Learning: Developing and Evaluating a User-Centered Learning App for Beginners to Gain Practical Experience},
journal = {i-com},
volume = {19},
number = {3},
year = {2021},
,
pages = { 201-213 } ,
doi = { 10.1515/icom-2020-0023 }
}

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More Info

DOI: 10.1515/icom-2020-0023
ISSN: 2196-6826
xmlui.MetaDataDisplay.field.date: 2021
Language: en (en)
Content Type: Text/Journal Article

Keywords

  • Deep Learning
  • Machine Learning
  • explainable
  • education
Collections
  • i-com Band 19 (2020) Heft 3 [8]

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Diese Digital Library basiert auf DSpace.

 

 


About uns | FAQ | Help | Imprint | Datenschutz

Gesellschaft für Informatik e.V. (GI), Kontakt: Geschäftsstelle der GI
Diese Digital Library basiert auf DSpace.