Hyper-parameter management

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United States of America Patent

PATENT NO 12093814
APP PUB NO 20210056457A1
SERIAL NO

16544969

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Abstract

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A method, system, and computer program product for hyper-parameter determination. In a method, a network architecture of a learning model may be determined, and the learning model may be configured for performing a computing task based on machine learning. A metric value record associated with a group of hyper-parameters may be obtained during hyper-parameter determination for the learning model. An estimation of a metric value may be obtained based on the network architecture, and the metric value record and an association relationship representing an association between network architectures and metric values for the network architectures. The group of hyper-parameters may be selected in response to the estimation of the metric value meeting a predefined criterion. With these embodiments, a group of hyper-parameters may be selected, and further the learning model may be trained based on the selected group of hyper-parameters.

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Patent Owner(s)

Patent OwnerAddress
INTERNATIONAL BUSINESS MACHINES CORPORATIONNEW ORCHARD ROAD ARMONK NY 10504

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Dong, Lin Beijing, CN 47 248
Xue, Chao Beijing, CN 57 195

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