Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Model training method and device based on machine learning

A machine learning model and model training technology, applied in the field of machine learning, can solve the problem that the neural network is not accurate enough to classify samples, and achieve the effect of improving the classification effect and reliability and improving the classification accuracy.

Active Publication Date: 2017-11-21
WUXI LITTLE SWAN ELECTRIC CO LTD
View PDF5 Cites 34 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] For this reason, the first purpose of the present invention is to propose a model training method based on machine learning to adaptively adjust the sampling probability of each sample, thereby improving the classification accuracy of important samples, and solving the problem of neural network in the prior art. Classification is not accurate enough

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
  • Model training method and device based on machine learning
  • Model training method and device based on machine learning
  • Model training method and device based on machine learning

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0033] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary and are intended to explain the present invention and should not be construed as limiting the present invention.

[0034] The machine learning-based model training method and device of the embodiments of the present invention are described below with reference to the accompanying drawings.

[0035] figure 1 It is a schematic flowchart of a model training method based on machine learning proposed by an embodiment of the present invention.

[0036] Such as figure 1 As shown, the model training method based on machine learning includes the following steps:

[0037] S11. According to the sampling probability of each sample in the sample set, s...

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 proposes a model training method and device based on machine learning, and the method comprises the steps: extracting samples from a sample set according to the sampling probability of each sample in the sample set, so as to generate a training set for this time; employing the training set for the training of a machine learning model; carrying out the estimation of the trained machine learning model, so as to obtain the classification accuracy of each sample in the training set; and adjusting the sampling probability of each sample in the training set according to the classification accuracy. The adjusted sampling probability is used for generating a training set for the next training. The method can achieve the adaptive adjustment of the sampling probability of each sample, improves the classification accuracy of an important sample and solves a problem that a neural network in the prior art is not accurate in sample classification.

Description

technical field [0001] The present invention relates to the technical field of machine learning, in particular to a model training method and device based on machine learning. Background technique [0002] With the development of artificial intelligence technology, intelligent home appliances have gradually become a development trend, and users have higher and higher demands for intelligent home appliances (such as washing machines). Applied in the research of smart home appliances. [0003] In the relevant deep learning technology, when using sample data for neural network training, the probability of occurrence of each sample is regarded as the same, which may easily lead to inaccurate classification of samples by the obtained neural network, and some classification accuracy is high, while some case of lower accuracy. Contents of the invention [0004] The present invention aims to solve one of the technical problems in the related art at least to a certain extent. ...

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): G06N3/08G06N99/00
CPCG06N3/08G06N20/00
Inventor 李俊
Owner WUXI LITTLE SWAN ELECTRIC CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com