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IoTNet: An Efficient and Accurate Convolutional Neural Network for IoT Devices
Two main approaches exist when deploying a Convolutional Neural Network (CNN) on resource-constrained IoT devices: either scale a large model down or use a small model designed specifically for resource-constrained environments. Small architectures typically trade accuracy for computational cost by...
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| Publicado no: | Sensors (Basel) |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6960729/ https://ncbi.nlm.nih.gov/pubmed/31847434 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s19245541 |
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