<  Back to the Polytechnique Montréal portal

Silent bugs in deep learning frameworks: an empirical study of Keras and TensorFlow

Florian Tambon, Amin Nikanjam, Le An, Foutse Khomh and Giuliano Antoniol

Article (2024)

An external link is available for this item
Department: Department of Computer Engineering and Software Engineering
PolyPublie URL: https://publications.polymtl.ca/57246/
Journal Title: Empirical Software Engineering (vol. 29, no. 1)
Publisher: Springer
DOI: 10.1007/s10664-023-10389-6
Official URL: https://doi.org/10.1007/s10664-023-10389-6
Date Deposited: 29 Jan 2024 14:38
Last Modified: 29 Jan 2024 14:38
Cite in APA 7: Tambon, F., Nikanjam, A., An, L., Khomh, F., & Antoniol, G. (2024). Silent bugs in deep learning frameworks: an empirical study of Keras and TensorFlow. Empirical Software Engineering, 29(1), 10 (34 pages). https://doi.org/10.1007/s10664-023-10389-6

Statistics

Dimensions

Repository Staff Only

View Item View Item