System and Method for Classifying Data Using a Neural Networks with Errors
A computing device includes one or more processors, random access memory (RAM), and a non-transitory computer-readable storage medium storing instructions for execution by the one or more processors. The computing device receives first data and classifies the first data using a neural network that i...
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Main Author | |
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Format | Patent |
Language | English |
Published |
01.10.2020
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Subjects | |
Online Access | Get full text |
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Summary: | A computing device includes one or more processors, random access memory (RAM), and a non-transitory computer-readable storage medium storing instructions for execution by the one or more processors. The computing device receives first data and classifies the first data using a neural network that includes at least one quantized layer. The classifying includes reading values from the random access memory for a set of weights of the at least one quantized layer of the neural network using first read parameters corresponding to a first error rate. |
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Bibliography: | Application Number: US201916367067 |