Patent · US Active

Computation method and device used in a convolutional neural network

US11657254B2 · kind B2 · utility

0Cited by

0References

21Claims

0Family size

Assignee

GLENFLY TECHNOLOGY CO., LTD · CN

Inventors

Jie Pan · Beijing, CN
Xu Wang · Jinan, CN

Key dates

Filing date	Aug 10, 2017
Grant date	May 23, 2023
Priority date	—
Expiry date	Sep 12, 2040

Classification

Technology area (CPC G)Physics
CPC primaryG06N3/08
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

A computation method used in a convolutional neural network is provided. The method includes: receiving original data; determining a first optimal quantization step size according to a distribution of the original data; performing fixed-point processing to the original data according to the first optimal quantization step size to generate first data; inputting the first data to a first layer of the convolutional neural network to generate first output data; determining a second optimal quantization step size according to a distribution of the first output data; performing the fixed-point processing to the first output data according to the second optimal quantization step size to generate second data; and inputting the second data to a second layer of the convolutional neural network.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.