Open AccessPerformance analysis of machine learning libraries
Author(s) -
Ewa Justyna Kędziora,
Grzegorz Krzysztof Maksim
Publication year - 2021
Publication title -
journal of computer sciences institute
Language(s) - English
Resource type - Journals
ISSN - 2544-0764
DOI - 10.35784/jcsi.2693
Subject(s) - computer science , artificial intelligence , machine learning
The paper presents results of performance analysis of machine learning libraries. The research was based on ML.NET and TensorFlow tools. The analysis was based on a comparison of running time of the libraries, during detection of objects on sets of images, using hardware with different parameters. The library, consuming fewer hardware resources, turned out to be TensorFlow. The choice of hardware platform and the possibility of using graphic cores, affecting the increase in computational efficiency, turned out to be not without significance.