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Learning system, learning device, learning method, learning program, teacher data creation device, teacher data creation method, teacher data creation program, terminal device, and threshold change device

机译:学习系统,学习设备,学习方法,学习程序,教师数据创建设备,教师数据创建方法,教师数据创建程序,终端设备和阈值改变设备

摘要

A training system comprises a training device, and a training data creation device for the training device. The training device trains a neural network by means of a backpropagation algorithm. The training data creation device acquires any one of a positive evaluation indicating that content of the input data coincides with the label, a negative evaluation indicating that content of the input data does not coincide with the label, and an ignorable evaluation indicating exclusion from a training target label, for each label regarding the input data to create training data. In training the neural network for training, the training system adjusts the weight coefficient for the intermediate layer such that the recognition score of the label with the positive evaluation or the negative evaluation comes closer to the ground-truth score of the positive evaluation or the negative evaluation, and makes the recognition score of the label with the ignorable evaluation not affect the adjustment of the weight coefficient for the intermediate layer.
机译:训练系统包括训练设备和用于训练设备的训练数据创建设备。训练设备通过反向传播算法训练神经网络。训练数据创建设备获得以下各项中的任何一项:表明输入数据的内容与标签一致的肯定评估,表明输入数据的内容与标签不一致的否定评估和表明从培训中排除的可忽略评估目标标签,针对与输入数据有关的每个标签创建训练数据。在训练神经网络进行训练时,训练系统会调整中间层的权重系数,以使带有正面评价或负面评价的标签的识别分数更接近于正面评价或负面评价的真实分数。评估,并使具有可忽略评估的标签的识别分数不影响中间层权重系数的调整。

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