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METHOD FOR OPTIMIZING IMAGE CLASSIFICATION MODEL, AND TERMINAL AND STORAGE MEDIUM THEREOF

机译:优化图像分类模型的方法,以及其终端和存储介质

摘要

A method for optimizing an image classification model can include determining a first image classification model based on initial training data; in response to model optimization, determining a second image classification model based on the first image classification model and a noise data set; and obtaining a third image classification model by optimizing the second image classification model based on the initial training data, the third image classification model being configured to update the noise data set based on noise data generated within a predetermined time period and the noise data set.
机译:用于优化图像分类模型的方法可以包括基于初始训练数据确定第一图像分类模型; 响应于模型优化,基于第一图像分类模型和噪声数据集确定第二图像分类模型; 并通过基于初始训练数据优化第二图像分类模型来获得第三图像分类模型,第三图像分类模型被配置为基于在预定时间段和噪声数据集内产生的噪声数据来更新噪声数据集。

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