METHOD AND APPARATUS WITH NEURAL NETWORK TRAINING

    公开(公告)号:US20240232632A1

    公开(公告)日:2024-07-11

    申请号:US18343303

    申请日:2023-06-28

    CPC classification number: G06N3/084 G06N3/045

    Abstract: A processor-implemented method may include generating respective first neural network differential data by differentiating a respective output of each layer of a first neural network with respect to input data provided to the first neural network that estimates output data from the input data, by a forward propagation process of the first neural network, generating, using a second neural network, an output differential value of the output data with respect to the input data using the respective first neural network differential data, and training the first neural network and the second neural network based on ground truth data of the output data and ground truth data of the output differential value.

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