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  1. 1. Quality Attributes of Data in Distributed Deep Learning Architectures

    Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

    Författare :SHAMEER KUMAR PRADHAN; SAGAR TUNGAL; [2021-09-28]
    Nyckelord :Data quality; Data; Data quality attributes; Data quality challenges; Data quality workflow; Data quality assessment; Data quality maintenance; Design science research; Artifacts; Template; Deep learning; Distributed architecture; Distributed deep learning architecture; Advanced driver assistance systems;

    Sammanfattning : Large volume of data is generated by different systems. Intelligent systems such asautonomous driving uses such large volume of data to train their artificial intelligence models. However, good quality data is one of the foremost needs of any system to function in an effective and safe manner. LÄS MER