Method and device for updating deep learning model, and system

A deep learning and model technology, applied in the Internet and computer fields, can solve the problems of non-user training data sets, unconnected user training data sets, and low update efficiency of deep learning models, so as to achieve real-time performance and improve update efficiency Effect

Active Publication Date: 2017-11-07
BEIJING BAIDU NETCOM SCI & TECH CO LTD
View PDF6 Cites 22 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, the existing training data sets used for training deep learning models are usually not the training data sets provided by users, and cannot be connected to the user's training data sets
And the process of updating the deep learning model is usually manually triggered by the user, and the update efficiency of the deep learning model is usually low

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 updating deep learning model, and system
  • Method and device for updating deep learning model, and system
  • Method and device for updating deep learning model, and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0035] The application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain related inventions, rather than to limit the invention. It should also be noted that, for the convenience of description, only the parts related to the related invention are shown in the drawings.

[0036] It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and embodiments.

[0037] figure 1 It shows an exemplary system architecture 100 to which embodiments of the method for updating a deep learning model or the apparatus for updating a deep learning model of the present application can be applied.

[0038] Such as figure 1 As shown, the system...

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 application discloses a method and device for updating a deep learning model, and a system. One specific implementation mode of the method comprises the following steps: a new training data set sent by a user terminal is received, wherein the new training data set is detected by the user terminal in a preset path; a preset deep learning model is trained according to the new training data set to obtain a prediction model after training; and the preset deep learning model is updated to the prediction model so that the prediction model is used in online execution data prediction operation. Docking with the training data set of a user is achieved through the implementation mode, and updating efficiency of the deep learning model is improved.

Description

technical field [0001] The present application relates to the field of computer technology, specifically to the field of Internet technology, and in particular to a method, device and system for updating a deep learning model. Background technique [0002] At present, the deep learning model needs to be continuously trained according to the update of the training data set to obtain a more accurate prediction model. By using the prediction model to update the deep learning model, the prediction model can be used to perform data prediction operations online . [0003] However, the existing training data sets used for training deep learning models are usually not the training data sets provided by the user, and cannot be connected to the user's training data set. Moreover, the process of updating the deep learning model is usually manually triggered by the user, and the updating efficiency of the deep learning model is usually low. Contents of the invention [0004] The pur...

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
Patent Type & Authority Applications(China)
IPC IPC(8): G06N99/00
CPCG06N20/00G06N3/063G06N3/08G06N3/045G06F18/214G06N5/04
Inventor 肖远昊张发恩周恺王倩刘昆徐东泽许天涵孙家元刘岚
Owner BEIJING BAIDU NETCOM SCI & 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