Neural network method and apparatus

    公开(公告)号:US11681915B2

    公开(公告)日:2023-06-20

    申请号:US16897461

    申请日:2020-06-10

    CPC classification number: G06N3/08 G06N20/10

    Abstract: A processor-implemented method of performing a convolution operation is provided. The method includes obtaining input feature map data and kernel data, determine the kernel data based on a number of input channels of the input feature map, a number of output channels of an output feature map, and a number of groups of the input feature map data and a number of groups of the kernel data related to the convolution operation, and performing the convolution operation based on the input feature map data and the determined kernel data.

    Neural network method and apparatus

    公开(公告)号:US12045723B2

    公开(公告)日:2024-07-23

    申请号:US16835532

    申请日:2020-03-31

    CPC classification number: G06N3/082 G06N3/04

    Abstract: A method and apparatus for the pruning of a neural network is provided. The method sets a weight threshold value based on a weight distribution of layers included in a neural network, predicts a change of inference accuracy of a neural network by pruning of each layer based on the weight threshold value, determines a current subject layer to be pruned with a weight threshold value among the layers included in the neural network, and prunes a determined current subject layer.

    Neural network method and apparatus

    公开(公告)号:US12026617B2

    公开(公告)日:2024-07-02

    申请号:US18144009

    申请日:2023-05-05

    CPC classification number: G06N3/08 G06N20/10

    Abstract: A processor-implemented method of performing a convolution operation is provided. The method includes obtaining input feature map data and kernel data, determine the kernel data based on a number of input channels of the input feature map, a number of output channels of an output feature map, and a number of groups of the input feature map data and a number of groups of the kernel data related to the convolution operation, and performing the convolution operation based on the input feature map data and the determined kernel data.

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