Data processing system and data processing method for deep neural network model

Abstract

A data processing method for a DNN model includes: reading weights of transmission data; quantizing each weight into bits sequentially including first, second, third, and fourth-type bits; sequentially interleaving the first-type bit into a first bit set; sequentially interleaving each second-type bit into second bit sets and reading a second compression rate of each second bit set in response to the compressible second bit sets; interleaving the third-type bit into a third bit set and reading a third compression rate of the third bit set in response to the compressible third bit set; compressing each second bit set with the second compression rate, and compressing the third bit set with the third compression rate; sequentially coding the first bit set, each compressed second bit set, and the compressed third bit set to generate first encoded data corresponding to the transmission data; transmitting the first encoded data to an external device.