
Testing Feedforward Neural Networks Training Programs
Author(s) -
Houssem Ben Braiek,
Foutse Khomh
Publication year - 2023
Publication title -
acm transactions on software engineering and methodology
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 0.597
H-Index - 78
eISSN - 1557-7392
pISSN - 1049-331X
DOI - 10.1145/3529318
Subject(s) - computer science , debugging , hyperparameter , artificial neural network , machine learning , artificial intelligence , software , deep neural networks , training (meteorology) , deep learning , test data , software engineering , programming language , physics , meteorology