TRAINING MACHINE LEARNING MODELS

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...

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Bibliographic Details
Main Authors SURAZHSKY, TATIANA, BITTMANN, RAN MOSHE, BOBOVICH, LEONID, KEMELMAKHER, MICHAEL
Format Patent
LanguageEnglish
Published 20.09.2018
Subjects
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
PHYSICS
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Summary: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.
Bibliography:Application Number: US201715463662