Method and device for obtaining recognition model, electronic equipment and storage medium

A technology for identifying models and electronic equipment, applied in the field of deep learning, can solve problems such as low accuracy of identification models and inaccurate model training

Active Publication Date: 2019-05-03
BEIJING DAJIA INTERNET INFORMATION TECH CO LTD
View PDF20 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The present disclosure provides a method, device, electronic device, and storage medium for obtaining a recognition model, which can overcome the problem of model training directly based on the probability of

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Method and device for obtaining recognition model, electronic equipment and storage medium
  • Method and device for obtaining recognition model, electronic equipment and storage medium
  • Method and device for obtaining recognition model, electronic equipment and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0066] Exemplary embodiments will be described in detail herein, examples of which are illustrated in the accompanying drawings. Where the following description refers to the drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the illustrative examples below are not intended to represent all implementations consistent with this disclosure. Rather, they are merely examples of apparatus and methods consistent with some aspects of the present disclosure as recited in the appended claims.

[0067] figure 1 is a flow chart of a method for obtaining a recognition model according to an exemplary embodiment, such as figure 1 As shown, the method for obtaining the recognition model includes:

[0068] In step S101, in the process of training the recognition model, for each sample data, according to the first recognition model, determine the first identity category to which the sample data...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention relates to a method and device for obtaining an identification model, electronic equipment and a storage medium, and belongs to the technical field of deep learning, and the method comprises the steps: determining a first identity category to which each piece of sample data belongs according to a first identification model in the process of training the identification model; according to a first identity category and a second identity category to which the sample data belongs, determining the weight of a first probability in the model training process, the first probability beingthe probability that the sample data belongs to the second identity category, and the second identity category being the identity category to which the sample data actually belongs; and performing iterative training on the first recognition model according to the first probability and the weight of the sample data to obtain a second recognition model. According to the method and the device, the loss value of the sample data is calculated through the weighted first probability to carry out model training, and the correlation between classes in the model training process is fully considered, sothat the accuracy of identifying the model is improved.

Description

technical field [0001] The present disclosure relates to the technical field of deep learning, and in particular to a method, device, electronic device and storage medium for acquiring a recognition model. Background technique [0002] With the development of artificial intelligence, the application of deep learning technology is becoming more and more extensive. Especially when solving the problem of identifying identity information from images, the image is usually identified according to the image recognition model. Therefore, model training is usually required to establish an image recognition model before image recognition. For example, before using an image recognition model to recognize the age corresponding to a face in a face image, model training is required to establish a face age recognition model. [0003] In related technologies, in the process of training the image recognition model, the age is divided into several age groups, and the probability of multiple...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06K9/00G06K9/62
Inventor 杨帆
Owner BEIJING DAJIA INTERNET INFORMATION TECH CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap