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Structure and Base Analysis of Receptive Field Neural Networks in a Character Recognition Task
This paper explores extensions and restrictions of shallow convolutional neural networks with fixed kernels trained with a limited number of training samples. We extend the work recently done in research on Receptive Field Neural Networks (RFNN) and show their behaviour using different bases and ste...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9784260/ https://www.ncbi.nlm.nih.gov/pubmed/36560112 http://dx.doi.org/10.3390/s22249743 |