Invention Grant
- Patent Title: Training machine learning models
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Application No.: US15463662Application Date: 2017-03-20
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Publication No.: US10692000B2Publication Date: 2020-06-23
- Inventor: Tatiana Surazhsky , Leonid Bobovich , Michael Kemelmakher , Ran Moshe Bittmann
- Applicant: SAP SE
- Applicant Address: DE Walldorf
- Assignee: SAP SE
- Current Assignee: SAP SE
- Current Assignee Address: DE Walldorf
- Agency: Mintz Levin Cohn Ferris Glovsky and Popeo, P.C.
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06N3/08 ; G06K9/62 ; G06N3/04

Abstract:
In one respect, there is provided a system that may include a processor and a memory. The memory may be configured to store instructions that results in operations when executed by the processor. The operations may include: training a machine learning model by at least processing a training set with the machine learning model, the training set including at least one synthetic image that is generated by applying one or more modifications to a non-synthetic image; determining, based at least on a result of the processing of the mixed training set, that the machine learning model is unable to classify images having a specific modification; and training the machine learning model with additional training data that includes one or more additional synthetic images having the specific modification. Related methods and articles of manufacture are also disclosed.
Public/Granted literature
- US20180268255A1 TRAINING MACHINE LEARNING MODELS Public/Granted day:2018-09-20
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