Data processing method, and neural network model training method and device

The invention discloses a data processing method and a neural network model training method and device in the field of artificial intelligence, and the method comprises the steps: carrying out the processing of to-be-processed data through a target neural network quantification model, and enabling the target neural network quantification model to comprise a plurality of groups of fusion parameters, the target neural network quantization model is obtained by quantizing the target neural network model, an activation function of the target neural network model comprises a piecewise linear function PWL, the PWL comprises a plurality of intervals, and the plurality of groups of fusion parameters and the plurality of intervals have a corresponding relationship. According to the method, the model adopting the PWL as the activation function can be quantified, and the reasoning speed of the model is increased. 本申请公开了人工智能领域中的一种数据处理方法、神经网络模型的训练方法及装置，该数据处理方法包括：利用目标神经网络量化模型对待处理的数据进行处理，目标神经网络量化模型包括多组融合参数，目标神经网络量化模型是通过对目标神经