An empirical study of the dependency networks of deep learning libraries

• Main Authors: HAN, Junxiao, DENG, Shuiguang, LO, David, ZHI, Chen, YIN, Jianwei, XIA, Xin
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2020
• Subjects: Deep learning frameworks; deep learning platforms; deep learning deployment; empirical study; Databases and Information Systems; Software Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/5626; https://ink.library.smu.edu.sg/context/sis_research/article/6629/viewcontent/empirical_study_of_the_dependency_networks_of_deep_learning_libraries_pv.pdf
• Institution: Singapore Management University

Deep Learning techniques have been prevalent in various domains, and more and more open source projects in GitHub rely on deep learning libraries to implement their algorithms. To that end, they should always keep pace with the latest versions of deep learning libraries to make the best use of deep...