| 摘要 |
The purpose of the present invention is to provide a technology which, during iterative training in machine learning, while further reducing user operation in appending label information, assists in user verification of greater volumes of data. Provided is an iterative training device 1, comprising an additional data acquisition unit 11, a data analysis unit 12, an analysis result output and verification unit 13, an iterative training unit 14, and an iterative training control unit 15. The additional data acquisition unit 11 acquires additional data for iterative training with respect to a machine learning model. The data analysis unit 12 carries out an analysis of the additional data using the machine learning model. The analysis result output and verification unit 13 acquires label information with respect to at least one of the analysis results. The iterative training unit 14 iteratively trains the machine learning model using the acquired label information. The iterative training control unit 15 controls each unit to repeat a re-analysis of the additional data using the machine learning model which is updated by the iterative training, the acquisition of the label information with respect to at least one of the re-analysis results, and the iterative training of the machine learning model using the label information. |
