公开(公告)号：US20230316046A1

公开(公告)日：2023-10-05

申请号：US18025648

申请日：2021-09-17

Applicant: Bodygram, Inc.

Inventor： Ito Takafumi ,  Kyohei Kamiyama

IPC: G06N3/045

CPC classification number: G06N3/045

Abstract: Methods and systems are disclosed for evaluating or training a machine learning module when its corresponding truth data sets are unavailable or unreliable. The methods and systems are configured for evaluating or training a target machine learning module having a first (system) input and a first output, wherein the target module is connected to a second machine learning module having an intermediate input (identical to the first output of the target module) and a second (system) output, by training the second module using received corresponding intermediate and output data sets, generating an evaluation data set using a received system input data set, and evaluating or training the target module using a loss function based on a distance metric between the evaluation data set and a received system output data set corresponding to the system input data set.