Bipolar morphological neural networks
A bipolar morphological neural network may be generated by converting an initial neural network by replacing multiplication calculations in one or more convolutional layers with approximations that utilize maximum/minimum and/or addition/subtraction operations. The remaining part of the network may...
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Main Authors | , , |
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Format | Patent |
Language | English |
Published |
28.05.2024
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Subjects | |
Online Access | Get full text |
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Summary: | A bipolar morphological neural network may be generated by converting an initial neural network by replacing multiplication calculations in one or more convolutional layers with approximations that utilize maximum/minimum and/or addition/subtraction operations. The remaining part of the network may be trained after each convolutional layer is converted. |
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Bibliography: | Application Number: US202117495628 |