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Efficient Deconvolution Architecture for Heterogeneous Systems-on-Chip
Today, convolutional and deconvolutional neural network models are exceptionally popular thanks to the impressive accuracies they have been proven in several computer-vision applications. To speed up the overall tasks of these neural networks, purpose-designed accelerators are highly desirable. Unfo...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8321086/ https://www.ncbi.nlm.nih.gov/pubmed/34460742 http://dx.doi.org/10.3390/jimaging6090085 |