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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2022
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| Materias: | |
| 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 |