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MODEL COMPRESSION DEVICE, LEARNING SYSTEM, MODEL COMPRESSION METHOD, AND PROGRAM RECORDING MEDIUM

机译:模型压缩设备,学习系统,模型压缩方法和程序记录介质

摘要

To efficiently create a prediction model, the prediction time of which is shortened while adequate generalization performance for machine learning is ensured, the model compression device, and the like, is equipped with a compression unit that creates a compression model arrived at by compressing a first prediction model created by machine learning, and a determination unit that determines whether or not a second prediction model created by re-learning the compression model can be further compressed on the basis of an index related to the performance of the second prediction model.
机译:为了有效地创建预测模型,确保了用于机器学习的适当泛化性能的预测时间,模型压缩装置等配备有压缩单元,该压缩单元通过压缩第一而产生压缩模型通过机器学习创建的预测模型,以及确定通过重新学习压缩模型而创建的第二预测模型的确定单元可以基于与第二预测模型的性能相关的索引进一步压缩。

著录项

  • 公开/公告号WO2021130997A1

    专利类型

  • 公开/公告日2021-07-01

    原文格式PDF

  • 申请/专利权人 NEC CORPORATION;

    申请/专利号WO2019JP51276

  • 发明设计人 YUKI MASATO;

    申请日2019-12-26

  • 分类号G06N3/08;G06N20;

  • 国家 JP

  • 入库时间 2022-08-24 19:52:52

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