FEATURE MAP DECOMPOSITION AND OPERATOR DECOMPOSITION IN MACHINE LEARNING OPERATIONS

    公开(公告)号:US20240211793A1

    公开(公告)日:2024-06-27

    申请号:US18069719

    申请日:2022-12-21

    CPC classification number: G06N20/00 G06F18/213 G06F18/2451

    Abstract: Certain aspects of the present disclosure provide techniques for processing streaming data using machine learning models. An example method generally includes generating a first feature map for a first set of streaming data using a machine learning model. To generate the first feature map, results of one or more operations performed on each respective item in the first set of streaming data are combined into the first feature map, and the results of the one or more operations performed for each respective item in the first set of streaming data are combined into the first feature map. A second feature map is generated for a second set of streaming data using the machine learning model. A result of processing the total set of data through the machine learning model is generated based at least on a combination of the first feature map and the second feature map.

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