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MODIFYING STRUCTURE OF ARTIFICIAL NEURAL NETWORKS BY COLLOCATING PARAMETERS

机译:通过搭配参数来修改人工神经网络的结构

摘要

Systems and methods for modifying structure of an artificial neural network (ANN) are provided. An example method comprises receiving, by one or more processing units, a plurality of arrays of weights associated with the ANN, modifying, by the processing units, the plurality of arrays of weights to generate a further plurality of further arrays of weights, wherein after the modification the following conditions are satisfied: an amount of operations required for computing neurons of the ANN using the further plurality of further arrays of weights is less than an amount of operations required for computing same neurons of the ANN using the plurality of arrays of weights; and outputs of the neurons of the ANN computed using the plurality of arrays of weights are substantially equal to further outputs of the neurons of the ANN using the further plurality of further arrays of weights.
机译:提供了用于修改人工神经网络(ANN)结构的系统和方法。 示例方法包括通过一个或多个处理单元接收与ANN相关联的多个权重阵列,由处理单元修改多个权重阵列以生成另一个另外的权重阵列,其中之后 满足以下条件的修改:使用其他多个权重阵列计算ANN的神经元所需的操作量小于使用多个权重计算ANN的相同神经元所需的操作量 ; 使用多个权重阵列计算的ANN的神经元的输出基本上等于使用另外的多个重量阵列的ANN的神经元的进一步输出。

著录项

  • 公开/公告号US2021326709A1

    专利类型

  • 公开/公告日2021-10-21

    原文格式PDF

  • 申请/专利权人 MIPSOLOGY SAS;

    申请/专利号US202016848973

  • 发明设计人 LUDOVIC LARZUL;

    申请日2020-04-15

  • 分类号G06N3/08;G06N20/10;G06F17/16;

  • 国家 US

  • 入库时间 2022-08-24 21:48:49

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