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Autoencoders for sample size estimation for fully connected neural network classifiers
Sample size estimation is a crucial step in experimental design but is understudied in the context of deep learning. Currently, estimating the quantity of labeled data needed to train a classifier to a desired performance, is largely based on prior experience with similar models and problems or on u...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9747810/ https://www.ncbi.nlm.nih.gov/pubmed/36513729 http://dx.doi.org/10.1038/s41746-022-00728-0 |