A Survey on Deep Learning Toolkits and Libraries for Intelligent User Interfaces
Jan Zacharias, Michael Barz, Daniel Sonntag
TL;DR
This survey reviews deep learning toolkits and open source software relevant to intelligent user interfaces, offering a scientific reference for researchers and developers integrating deep learning into IUI projects.
Contribution
It provides a comprehensive overview of current deep learning toolkits and recent open source contributions specific to intelligent user interfaces.
Findings
Identifies key deep learning toolkits used in IUI development
Highlights recent open source software contributions for IUI tasks
Serves as a scientific reference for IUI researchers and developers
Abstract
This paper provides an overview of prominent deep learning toolkits and, in particular, reports on recent publications that contributed open source software for implementing tasks that are common in intelligent user interfaces (IUI). We provide a scientific reference for researchers and software engineers who plan to utilise deep learning techniques within their IUI research and development projects.
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Taxonomy
TopicsMobile Crowdsensing and Crowdsourcing · Multimodal Machine Learning Applications · Video Analysis and Summarization