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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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Bibliografiset tiedot
Julkaisussa:Sensors (Basel)
Päätekijät: Lawrence, Tom, Zhang, Li
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: MDPI 2019
Aiheet:
Linkit: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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