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METHOD AND APPARATUS FOR OPTIMIZING AND APPLYING MULTILAYER NEURAL NETWORK MODEL, AND STORAGE MEDIUM

机译:多层神经网络模型和存储介质的优化和应用方法及装置

摘要

A method and an apparatus for optimizing and applying a multilayer neural network model, and a storage medium are provided. The optimization method includes, dividing out at least one sub-structure from the multilayer neural network model to be optimized, wherein a tail layer of the divided sub-structure is a quantization layer, and transferring operation parameters in layers other than the quantization layer to the quantization layer for each of the divided sub-structures and updating quantization threshold parameters in the quantization layer based on the transferred operation parameters. When a multilayer neural network model optimized based on the optimization method is operated, the necessary processor resources can be reduced.
机译:提供了一种用于优化和应用多层神经网络模型的方法和设备,以及一种存储介质。该优化方法包括:从多层神经网络模型中分离出至少一个要优化的子结构,其中,所划分的子结构的尾层为量化层;将除量化层以外的层中的操作参数传递给用于每个划分的子结构的量化层,并基于传输的操作参数来更新量化层中的量化阈值参数。当运行基于优化方法优化的多层神经网络模型时,可以减少必要的处理器资源。

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