Invention Grant
- Patent Title: Device and method for determining convolutional neural network model for database
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Application No.: US15799533Application Date: 2017-10-31
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Publication No.: US11144817B2Publication Date: 2021-10-12
- Inventor: Li Sun , Song Wang , Wei Fan , Jun Sun
- Applicant: FUJITSU LIMITED
- Applicant Address: JP Kawasaki
- Assignee: FUJITSU LIMITED
- Current Assignee: FUJITSU LIMITED
- Current Assignee Address: JP Kawasaki
- Agency: Staas & Halsey LLP
- Priority: CN201611095599.7 20161201
- Main IPC: G06N3/04
- IPC: G06N3/04 ; G06N3/08

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.
Public/Granted literature
- US20180157965A1 DEVICE AND METHOD FOR DETERMINING CONVOLUTIONAL NEURAL NETWORK MODEL FOR DATABASE Public/Granted day:2018-06-07
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