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NEURAL NETWORK MODEL UPDATE METHOD, AND IMAGE PROCESSING METHOD AND DEVICE

机译:神经网络模型更新方法和图像处理方法和设备

摘要

The present application discloses a neural network model update method, and an image processing method and device in the field of artificial intelligence. The neural network model updating method comprises: acquiring a structure of a neural network model, and a related parameter of the neural network model; training the neural network model on the basis of the related parameter of the neural network model to acquire a trained neural network model; and if an evaluation result of the trained neural network model does not meet a preconfigured condition, updating at least two items in the related parameter and the structure of the neural network model until an evaluation result of the updated neural network model meets the preconfigured condition and/or the number of updates reaches a preconfigured value. The method of the present application improves update efficiency of a neural network model, and obtains a structure and/or a related parameter of a neural network model having improved performance.
机译:本申请公开了一种神经网络模型更新方法,以及人工智能领域的图像处理方法和设备。神经网络模型更新方法包括:获取神经网络模型的结构,以及神经网络模型的相关参数;基于神经网络模型的相关参数训练神经网络模型,以获取培训的神经网络模型;如果培训的神经网络模型的评估结果不符合预配置条件,则在相关参数和神经网络模型的结构中更新至少两个项目,直到更新的神经网络模型的评估结果符合预配置条件/或更新次数达到预先配置的值。本申请的方法提高了神经网络模型的更新效率,并获得具有改进性能的神经网络模型的结构和/或相关参数。

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