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Parameterizable Design on Convolutional Neural Networks Using Chisel Hardware Construction Language
This paper presents a parameterizable design generator on convolutional neural networks (CNNs) using the Chisel hardware construction language (HCL). By parameterizing structural designs such as the streaming width, pooling layer type, and floating point precision, multiple register–transfer level (...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10053615/ https://www.ncbi.nlm.nih.gov/pubmed/36984938 http://dx.doi.org/10.3390/mi14030531 |