NIST · ИТ · 172a4f2df96c45c845a8
Towards Deep Transfer Learning in Industrial Internet of Things
In this paper, we propose a general framework to adopt transfer learning in IIoT systems. Transfer learning is a machine learning technique that fully uses the knowledge from pre- trained models to reduce the computing requirements for the training process
NIST · ИТОфициальный источник · 2021-02-26
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"title_en": "Towards Deep Transfer Learning in Industrial Internet of Things",
"designation": "",
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"date": "2021-02-26",
"date_original": "February 26, 2021",
"url": "https://www.nist.gov/publications/towards-deep-transfer-learning-industrial-internet-things",
"source": "NIST Publications",
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"authors_en": "Xing Liu , Wei Yu , Fan Liang , David Griffith , Nada T. Golmie",
"abstract_excerpt_en": "In this paper, we propose a general framework to adopt transfer learning in IIoT systems. Transfer learning is a machine learning technique that fully uses the knowledge from pre- trained models to reduce the computing requirements for the training process",
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"title_en": "Towards Deep Transfer Learning in Industrial Internet of Things",
"designation": "",
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"authors_en": "Xing Liu , Wei Yu , Fan Liang , David Griffith , Nada T. Golmie",
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