Artificial neural network model selection
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United States of America
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Mar 18, 2025
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Jun 9, 2022
app pub date -
Dec 9, 2020
filing date -
Dec 9, 2020
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Abstract
A first artificial neural network (ANN) model implemented on a memory device can be executed on first data from an imaging device corresponding to a first image. A second ANN model implemented on the memory device can be executed on second data from the imaging device corresponding to a second, subsequent image. Whether an accuracy value of results yielded from the execution of the second ANN model on the second data is less than a threshold accuracy value can be determined by the memory device. Responsive to determining that the accuracy value is less than the threshold accuracy value, the first ANN model can be executed on third data from the imaging device corresponding to a third image subsequent to the second image. Such selection of ANN models can reduce excess power consumption of a memory device on which the ANN models are implemented.
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