High frequency accuracy and loss data of random neural networks trained on image datasets

Neural Networks (NNs) are increasingly used across scientific domains to extract knowledge from experimental or computational data. An NN is composed of natural or artificial neurons that serve as simple processing units and are interconnected into a model architecture; it acquires knowledge from th...

Descripción completa

Detalles Bibliográficos
Autores principales: Rorabaugh, Ariel Keller, Caíno-Lores, Silvina, Johnston, Travis, Taufer, Michela
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Data Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8749157/
https://www.ncbi.nlm.nih.gov/pubmed/35036484
http://dx.doi.org/10.1016/j.dib.2021.107780

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8749157/
https://www.ncbi.nlm.nih.gov/pubmed/35036484
http://dx.doi.org/10.1016/j.dib.2021.107780

Ejemplares similares