8b645a763aee2e6dea3b · A Standardized Representation of Convolutional Neural Networks for Reliable Deployment of Machine Learning Models in the Manufacturing Industry
A Standardized Representation of Convolutional Neural Networks for Reliable Deployment of Machine Learning Models in the Manufacturing Industry
The use of deep convolutional neural networks is becoming increasingly popular in the engineering and manufacturing sectors. However, managing the distribution of trained models is still a difficult task, partially due to the limitations of standardized
{
"title_en": "A Standardized Representation of Convolutional Neural Networks for Reliable Deployment of Machine Learning Models in the Manufacturing Industry",
"designation": "",
"series": "",
"status": "",
"date": "2019-08-18",
"date_original": "August 18, 2019",
"url": "https://www.nist.gov/publications/standardized-representation-convolutional-neural-networks-reliable-deployment-machine",
"source": "NIST Publications",
"display_en": "",
"authors_en": "Max K. Ferguson, Seongwoon Jeong, Kincho H. Law, Anantha Narayanan Narayanan , Svetlana Levitan, Jena Tridivesh, Yung-Tsun Lee",
"abstract_excerpt_en": "The use of deep convolutional neural networks is becoming increasingly popular in the engineering and manufacturing sectors. However, managing the distribution of trained models is still a difficult task, partially due to the limitations of standardized",
"id": "8b645a763aee2e6dea3b",
"sources": [
"NIST Publications"
],
"source_records": [
{
"title_en": "A Standardized Representation of Convolutional Neural Networks for Reliable Deployment of Machine Learning Models in the Manufacturing Industry",
"designation": "",
"series": "",
"status": "",
"date": "2019-08-18",
"date_original": "August 18, 2019",
"url": "https://www.nist.gov/publications/standardized-representation-convolutional-neural-networks-reliable-deployment-machine",
"source": "NIST Publications",
"display_en": "",
"authors_en": "Max K. Ferguson, Seongwoon Jeong, Kincho H. Law, Anantha Narayanan Narayanan , Svetlana Levitan, Jena Tridivesh, Yung-Tsun Lee",
"abstract_excerpt_en": "The use of deep convolutional neural networks is becoming increasingly popular in the engineering and manufacturing sectors. However, managing the distribution of trained models is still a difficult task, partially due to the limitations of standardized"
}
],
"translation_state": "none"
}