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Learning device, learning method, learning program, identification device, identification method and identification program

机译:学习设备,学习方法,学习程序,识别设备,识别方法和识别程序

摘要

Problem to be solved: to provide a more useful explanation material for the neural network.An input section for acquiring learning data and correct values andAn important region estimator for estimating one or more critical regions based on said learning dataA trimming processing unit for trimming one or more critical regions based on said learning data and information indicative of one or more critical regions, and outputting one or more critical regionsA feature extractor for extracting feature quantities based on the one or more important regions and the first neural networkA similarity calculation unit which calculates the similarity between the feature quantity and the prototype and outputs itAn inference part that outputs inferential values based on the similarityAn evaluation part that evaluates the inference value based on the correct answer value and obtains the evaluation resultBased on the above evaluation resultsThe weight parameter of the first neural network and the update section for updating the prototype with the prototypeIncludeLearning equipment.Diagram
机译:要解决的问题:为神经网络提供更有用的解释材料。用于获取学习数据和校正值的输入部分,并且基于所述学习DataA修整处理单元估计一个或多个关键区域的重要区域估计器,用于基于所述学习数据和指示一个或多个关键区域的信息来修整一个或多个关键区域,并输出一个或多个关键区域特征提取器,用于基于一个或多个重要区域和第一神经网络相似度计算单元来提取特征量,以及计算特征量和原型之间的相似性,并输出输出推动值的ITAN推断部分基于相似性评估部分基于正确的答案值来评估推理值,并在第一神经网络的上述评估结果的权重参数和更新部分使用原型块线性读取设备更新的更新部分来获得效果基础的评估部分.Diagram

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