Improving Testing of Deep-Learning Systems.

The article focuses on the improvement of test effectiveness and quality of test data in deep learning systems. Topics of discussion include the combination of mutation testing using DeepMutation and differential testing using DeepXplore, iterations of models using data from the MNIST database, and...

Descripción completa

Detalles Bibliográficos

Publicado en:	Communications of the ACM Vol. 67; no. 3; pp. 44 - 49
Autores principales:	Deokuliar, Harsh, Sangwan, Raghvinder S., Badr, Yoaukim, Srinivasan, Satish M.
Formato:	Artículo
Publicado:	Association for Computing Machinery Mar2024
Materias:	Deep learning Computer software testing Data quality Mutation testing of computer software Iterative methods (Mathematics) Artificial neural networks
Acceso en línea:	Ver este registro en EBSCOhost