BINARY MACHINE LEARNING NETWORK WITH OPERATIONS QUANTIZED TO ONE BIT

    公开(公告)号:US20230237368A1

    公开(公告)日:2023-07-27

    申请号:US17585197

    申请日:2022-01-26

    CPC classification number: G06N20/00 G06F17/15

    Abstract: Techniques for a machine learning model including the steps of summing values of a set of non-binary input feature values with bias values of a first set of bias values to generate first summed values; binarizing the first summed values; receiving a set of binary weights; performing a convolution operation on the binarized summed values and the set of binary weights to generate convolved output feature values; summing feature values of the convolved output feature values with bias values of a second set of bias values and applying a scale value of a first set of scale values to generate a first set of normalized feature values; summing the first set of normalized feature values with the non-binary input feature values to generate second summed values; and outputting a set of output feature values based on the second summed normalized feature values and non-binary input feature values.

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