Tensorflow vs R: A Comparative Study of Usability
Author(s) -
Luís Dias,
Rosalvo Ferreira de Oliveira Neto
Publication year - 2017
Publication title -
anais do simpósio brasileiro de sistemas de informação (sbsi)
Language(s) - English
Resource type - Conference proceedings
DOI - 10.5753/sbsi.2017.6093
Subject(s) - usability , computer science , usability engineering , artificial intelligence , artificial neural network , cognitive walkthrough , web usability , human–computer interaction
Google released on November of 2015 Tensorflow, an open source machine learning framework that can be used to implement Deep Neural Network algorithms, a class of algorithms that shows great potential in solving complex problems. Considering the importance of usability in software success, this research aims to perform a usability analysis on Tensorflow and to compare it with another widely used framework, R. The evaluation was performed through usability tests with university students. The study led do indications that Tensorflow usability is equal or better than the usability of traditional frameworks used by the scientific community.
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