首页> 外国专利> NEURAL NETWORK PROCESSING DEVICE, COMPUTER PROGRAM, NEURAL NETWORK MANUFACTURING METHOD, NEURAL NETWORK DATA MANUFACTURING METHOD, NEURAL NETWORK USE DEVICE, AND NEURAL NETWORK DOWNSCALING METHOD

NEURAL NETWORK PROCESSING DEVICE, COMPUTER PROGRAM, NEURAL NETWORK MANUFACTURING METHOD, NEURAL NETWORK DATA MANUFACTURING METHOD, NEURAL NETWORK USE DEVICE, AND NEURAL NETWORK DOWNSCALING METHOD

机译:神经网络处理设备,计算机程序,神经网络制造方法,神经网络数据制造方法,神经网络使用设备和神经网络降级方法

摘要

An objective of the present invention is to alleviate a degradation in neural network performance at the time of downscaling. A neural network processing device 10 according to the present disclosure is configured to execute: a process 22 of providing a plurality of instances of input data 40 to a neural network N1 in which a plurality of artificial neurons are connected and deriving vectors formed from a plurality of outputs outputted from the artificial neurons for each of the artificial neurons; and an integration process 23 of, on the basis of the vectors, selecting a plurality of artificial neurons which demonstrate identical or similar behavior, and integrating the selected artificial neurons.
机译:本发明的目的是减轻缩小规模时神经网络性能的降低。根据本公开的神经网络处理设备10被配置为执行:处理22,该处理22将输入数据40的多个实例提供给神经网络N1,在神经网络N1中连接了多个人工神经元,并且推导了由多个神经网络形成的向量。每个人工神经元从人工神经元输出的输出;积分过程23,基于所述向量,选择表现出相同或相似行为的多个人工神经元,并对所选择的人工神经元进行积分。

著录项

  • 公开/公告号WO2020054402A1

    专利类型

  • 公开/公告日2020-03-19

    原文格式PDF

  • 申请/专利权人 WAKAYAMA UNIVERSITY;

    申请/专利号WO2019JP33594

  • 发明设计人 WADA TOSHIKAZU;KAMMA KOJI;ISODA YUUKI;

    申请日2019-08-28

  • 分类号G06N3/08;

  • 国家 WO

  • 入库时间 2022-08-21 11:12:43

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