Patent · US Active

Device and method for determining convolutional neural network model for database

US11144817B2 · kind B2 · utility

1Cited by

0References

17Claims

0Family size

Assignee

FUJITSU LIMITED · JP

Inventors

Li Sun · Hefei, CN
Song Wang · Beijing, CN
Wei Fan · Nanhu, CN
Jun Sun · Shanghai, CN

Key dates

Filing date	Oct 31, 2017
Grant date	Oct 12, 2021
Priority date	—
Expiry date	May 27, 2040

Classification

Technology area (CPC G)Physics
CPC primaryG06N3/09
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

A device for determining a CNN model for a database according to the present disclosure includes: a selecting unit configured to select at least two CNN models from multiple CNN models whose classification capacity is known; a fitting unit configured to fit, based on the classification capacity and first parameters of the at least two CNN models, a curve taking classification capacity and a first parameter as variables; a predicting unit configured to predict, based on the curve, a first parameter of other CNN models; and a determining unit configured to determine a CNN model applicable to the database from the multiple CNN models. With the device and the method according to the present disclosure, there is no need to train all the CNN models, thereby greatly reducing the amount of computation and simplifying the process of designing the CNN model.

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