首页> 外国专利> Method for performing on-device learning of machine learning network on autonomous vehicle by using multi-stage learning with adaptive hyper-parameter sets and device using the same

Method for performing on-device learning of machine learning network on autonomous vehicle by using multi-stage learning with adaptive hyper-parameter sets and device using the same

机译:通过使用具有相同的自适应超参数集和设备的多阶段学习对自主车辆机器学习网络进行机床学习的方法

摘要

A method for performing on-device learning of embedded machine learning network of autonomous vehicle by using multi-stage learning with adaptive hyper-parameter sets is provided. The processes include: (a) dividing the current learning into a 1-st stage learning to an n-th stage learning, assigning 1-st stage training data to n-th stage training data, generating a 1_1-st hyper-parameter set candidate to a 1_h-th hyper-parameter set candidate, training the embedded machine learning network in the 1-st stage learning, and determining a 1-st adaptive hyper-parameter set; (b) generating a k_1-st hyper-parameter set candidate to a k_h-th hyper-parameter set candidate, training the (k−1)-th stage-completed machine learning network in the k-th stage learning, and determining a k-th adaptive hyper-parameter set; and (c) generating an n-th adaptive hyper-parameter set, and executing the n-th stage learning, to thereby complete the current learning.
机译:提供了一种利用具有自适应超参数集的多阶段学习来执行自主车辆的嵌入式机器学习网络的设备上的设备的方法。 该过程包括:(a)将当前学习划分为第n阶段学习的1-ST阶段学习,将1-ST级训练数据分配给第n阶段训练数据,生成1_1-St超参数集 候选人到一个1_h-th超参数集候选,培训嵌入式机器学习网络在1-ST阶段学习中,并确定1-St自适应超参数集; (b)将K_1-ST超参数集候选者生成K_H-TH超参数集候选,培训(K-1)级完成的K-TH阶段学习中完成的机器学习网络,并确定a K-TH自适应超参数集; (c)生成第n个自适应超参数集,并执行第n级学习,从而完成当前的学习。

著录项

  • 公开/公告号US11203361B2

    专利类型

  • 公开/公告日2021-12-21

    原文格式PDF

  • 申请/专利权人 STRADVISION INC.;

    申请/专利号US202117229350

  • 申请日2021-04-13

  • 分类号B60W60;G06K9/62;G06N20;

  • 国家 US

  • 入库时间 2022-08-24 22:56:02

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