Task model training method and device, electronic equipment and storage medium

The invention provides a task model training method and device, electronic equipment and a storage medium, and relates to the technical field of neural networks. The method comprises the steps that a collected sample behavior sequence set is input into a pre-trained feature extractor, an output resu...

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Bibliographic Details
Main Authors FAN CHANGJIE, LIN JIANSHI, MAO XIAOXI, WU RUNZE, PU JIASHU, HU ZHIPENG
Format Patent
LanguageChinese
English
Published 24.08.2021
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Summary:The invention provides a task model training method and device, electronic equipment and a storage medium, and relates to the technical field of neural networks. The method comprises the steps that a collected sample behavior sequence set is input into a pre-trained feature extractor, an output result is obtained, the sample behavior sequence set comprises game behavior sequences of at least one user under a target game in different time periods, each game behavior sequence is composed of at least one game behavior basic unit, wherein the output result is feature information corresponding to the game behavior sequence; the output result is input into a preset recognition model, a recognition result is obtained, and the preset recognition model is an initial target task recognition model and is used for recognizing a result corresponding to the initial target task; according to the recognition result, the feature extractor and the recognition model are adjusted, a target feature extractor and a target recognit
Bibliography:Application Number: CN202110558897