COMPUTER SYSTEM AND METHOD FOR QUANTIZING ARTIFICIAL NEURAL NETWORK MODEL

Abstract

Provided is a quantization method of an artificial neural network model including a plurality of layers. The quantization method includes identifying an outlier from among activation elements output from a first layer among the layers of the artificial neural network model, determining and regularizing a weight to be regularized among weights applied to the first layer based on relevance with the identified outlier, and quantizing the artificial neural network model after the quantization.

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