Neural Network Computing Chip and Computing Method

    公开(公告)号:US20220236909A1

    公开(公告)日:2022-07-28

    申请号:US17722890

    申请日:2022-04-18

    Abstract: A neural network computing chip and a neural network computing method are provided. The computing chip includes a translation circuit and a computing circuit. After input data is processed by the translation circuit, a value of each element of the data input into the computing circuit is not a negative number, thereby meeting a value limitation condition imposed by the computing circuit on the input data. Therefore, a calculation result can be obtained by performing calculation for only one time, and there is no need to perform calculation for two times. Therefore, neural network computing efficiency is improved, and a delay of a neural network operation is reduced.

    Neural Network System and Data Processing Technology

    公开(公告)号:US20210326687A1

    公开(公告)日:2021-10-21

    申请号:US17360459

    申请日:2021-06-28

    Abstract: A neural network system includes P computing units configured to perform an operation of a first neural network layer and Q computing units configured to perform an operation of a second neural network layer. The P computing units are configured to perform computing on first input data based on N configured first weights to obtain first output data after receiving the first input data. The Q computing units are configured to perform computing on second input data based on M configured second weights to obtain second output data after receiving the second input data. The second input data includes the first output data. A ratio of N to M corresponds to a ratio of a data volume of the first output data to a data volume of the second output data.

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