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SYSTEMS AND METHODS FOR LEARNING NEW TRAINED CONCEPTS USED TO RETRIEVE CONTENT RELEVANT TO THE CONCEPTS LEARNED

机译:学习用于检索与所学概念相关的内容的新训练概念的系统和方法

摘要

A system configured for learning new trained concepts used to retrieve content relevant to the concepts learned. The system may comprise one or more hardware processors configured by machine-readable instructions to obtain one or more digital media items. The one or more hardware processors may be further configured to obtain an indication conveying a concept to be learned from the one or more digital media items. The one or more hardware processors may be further configured to receive feedback associated with individual ones of the one or more digital media items. The one or more hardware processors may be configured to obtain individual neural network representations for the individual ones of the one or more digital media items. The one or more hardware processors may be configured to determine a trained concept based on the feedback and the neural network representations of the one or more digital media items.
机译:一种用于学习新的训练过的概念的系统,该系统用于检索与所学概念有关的内容。该系统可以包括一个或多个由机器可读指令配置的硬件处理器,以获得一个或多个数字媒体项目。一个或多个硬件处理器可以进一步被配置为从该一个或多个数字媒体项目获得传达要学习的概念的指示。一个或多个硬件处理器可以进一步被配置为接收与一个或多个数字媒体项目中的各个数字媒体项目相关联的反馈。一个或多个硬件处理器可以被配置为针对一个或多个数字媒体项目中的单个数字媒体项目获得单个神经网络表示。一个或多个硬件处理器可以被配置为基于一个或多个数字媒体项目的反馈和神经网络表示来确定训练的概念。

著录项

  • 公开/公告号WO2017024270A1

    专利类型

  • 公开/公告日2017-02-09

    原文格式PDF

  • 申请/专利权人 CLARIFAI INC.;

    申请/专利号WO2016US45890

  • 发明设计人 ZEILER MATTHEW D.;

    申请日2016-08-05

  • 分类号G06F15/18;

  • 国家 WO

  • 入库时间 2022-08-21 13:32:14

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