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公开(公告)号:US11475300B2
公开(公告)日:2022-10-18
申请号:US16714011
申请日:2019-12-13
Applicant: Huawei Technologies Co., Ltd.
Inventor: Jun Yao , Wulong Liu , Yu Wang , Lixue Xia
Abstract: A neural network training method includes inputting neuron input values of a neural network to the RRAM, and performing calculation for the neuron input values based on filters in the RRAM, to obtain neuron output values of the neural network, performing calculation based on kernel values of the RRAM, the neuron input values, the neuron output values, and backpropagation error values of the neural network, to obtain backpropagation update values of the neural network, comparing the backpropagation update values with a preset threshold, and when the backpropagation update values are greater than the preset threshold, updating the filters in the RRAM based on the backpropagation update values.