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|1. (WO2017185412) NEURAL NETWORK OPERATION DEVICE AND METHOD SUPPORTING FEW-BIT FIXED-POINT NUMBER|
|Applicants:||CAMBRICON TECHNOLOGIES CORPORATION LIMITED
|Title:||NEURAL NETWORK OPERATION DEVICE AND METHOD SUPPORTING FEW-BIT FIXED-POINT NUMBER|
A device and method for performing a forward operation of an artificial neural network. The device comprises: a floating-point data statistics module used for performing statistical analysis on various types of required data, to obtain decimal point locations of fixed-point data; a data conversion unit (32) used for implementing conversion from a long-bit floating-point data type to a short-bit fixed-point data type according to the decimal point locations of fixed-point data; a fixed-point data operation module used for performing a forward operation of an artificial neural network on short-bit fixed-point data. By representing data in a forward operation of a multilayer artificial neural network with a short-bit fixed point, and using a corresponding fixed-point operation module, the device implements the forward operation of the short-bit fixed point of the artificial neural network, thereby greatly improving the performance per watt of hardware.