METHOD AND DEVICE FOR QUANTIZING DEEP LEARNING NEURAL NETWORK MODEL BY CONSIDERING CHANGE IN EXTERNAL ENVIRONMENT

原文（中文）

A quantization method of a deep learning neural network model is disclosed. An embodiment of the disclosure provides a quantization method comprising: detecting a feature change of input data caused by a change in an external environment, from input image data of a quantized deep learning neural network model based on a plurality of preset quantization parameters; performing quantization calibration for the deep learning neural network model to determine a new quantization parameter corresponding to the feature change of input data caused by the change in the external environment; and updating at least one of the plurality of preset quantization parameters based on the new quantization parameter.