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DATA DISCRIMINATOR TRAINING METHOD, DATA DISCRIMINATOR TRAINING APPARATUS, NON-TRANSITORY COMPUTER READABLE MEDIUM, AND TRAINING METHOD
DATA DISCRIMINATOR TRAINING METHOD, DATA DISCRIMINATOR TRAINING APPARATUS, NON-TRANSITORY COMPUTER READABLE MEDIUM, AND TRAINING METHOD
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机译:数据鉴别器训练方法,数据鉴别器训练装置,非暂态计算机可读介质和训练方法
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摘要
A model generation method includes updating, by at least one processor, a weight matrix of a first neural network model at least based on a first inference result obtained by inputting, to the first neural network model which discriminates between first data and second data generated by using a second neural network model, the first data, a second inference result obtained by inputting the second data to the first neural network model, and a singular value based on the weight matrix of the first neural network model. The model generation method also includes at least based on the second inference result, updating a parameter of the second neural network model.
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