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Neural network model contraction device

机译:神经网络模型收缩装置

摘要

PROBLEM TO BE SOLVED: To suppress an increase in a design period related to model contraction while combining a plurality of contraction methods. A model contraction device (1) of a neural network uses a first contraction parameter to perform a first contraction process for changing an element of a weight matrix, and a weight calculation processing unit (first) for updating the weight matrix. (Reduction processing unit) 30 and the second reduction parameter are used to perform the second reduction processing to reduce the size of the updated weight matrix, and the network deformation to deform the network shape corresponding to the reduced weight matrix. A resynthesis processing unit (second contraction processing unit) 50 is provided. [Selection diagram] Fig. 3
机译:解决的问题:在组合多种收缩方法的同时,抑制与模型收缩有关的设计周期的增加。神经网络的模型收缩装置(1)使用第一收缩参数来执行用于改变权重矩阵的元素的第一收缩过程,并使用权重计算处理单元(第一)来更新权重矩阵。 (归约处理单元)30和第二归约参数用于执行第二归约处理以减小更新后的权重矩阵的大小,并且使网络变形以使与减小的权重矩阵相对应的网络形状变形。提供了再合成处理单元(第二收缩处理单元)50。 [选择图]图3

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