Data augmentation in training deep neural network (DNN) based on genetic model
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United States of America Patent
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Oct 4, 2022
Grant Date -
Nov 12, 2020
app pub date -
May 10, 2019
filing date -
May 10, 2019
priority date (Note) -
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Abstract
According to an aspect of an embodiment, operations may include selecting, from a training dataset, a first data point as a seed data point. The operations may further include generating a population of data points by application of a genetic model on the seed data point. The population of data points may include the seed data point and a plurality of transformed data points of the seed data point. The operations may further include determining a best-fit data point in the generated population of data points based on application of a fitness function on the generated population of data points. The operations may further include executing a training operation on the DNN based on the determined best-fit data point. The operations may further include obtaining a trained DNN for the first data point based on the training operation on the DNN based on the determined best-fit data point.
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