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Model training method and device, electronic equipment and computer readable storage medium

A technology for training models and training modules, applied in computer parts, computing, computing models, etc., and can solve problems such as long time consumption

Pending Publication Date: 2020-10-16
BEIJING BAIDU NETCOM SCI & TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the larger the amount of sample data, the longer it will take for the parameter adjustment process in automatic machine learning

Method used

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  • Model training method and device, electronic equipment and computer readable storage medium
  • Model training method and device, electronic equipment and computer readable storage medium
  • Model training method and device, electronic equipment and computer readable storage medium

Examples

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Embodiment Construction

[0029] Exemplary embodiments of the present application are described below in conjunction with the accompanying drawings, which include various details of the embodiments of the present application to facilitate understanding, and they should be regarded as exemplary only. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the application. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.

[0030] It should be understood that the terms "first", "second", "third", etc. in the present application are used to distinguish similar objects, and not necessarily used to describe a specific sequence or sequence. It should be understood that the terms so used are interchangeable under appropriate circumstances to facilitate description of the embodiments of the p...

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PUM

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Abstract

The invention discloses a model training method and device, electronic equipment and a computer readable storage medium, and relates to the field of artificial intelligence, in particular to the technical field of deep learning. According to the specific implementation scheme, the method comprises the steps of acquiring a sample data set, and randomly selecting a plurality of pieces of sample datafrom the sample data set as sub-sample data sets; training a to-be-trained model based on the sub-sample data sets to obtain value intervals of a first training parameter and a second training parameter; training the to-be-trained model based on the sample data set and the value intervals of the first training parameter and the second training parameter to obtain a second training parameter and athird training parameter; and determining the first training parameter, the second training parameter and the third training parameter as model parameters of the to-be-trained model. According to theinvention, the time consumed by the parameter adjustment process in automatic machine learning can be effectively shortened.

Description

technical field [0001] This application relates to the field of artificial intelligence, specifically to the field of deep learning technology. The present application provides a method and device for training a model, electronic equipment, and a computer-readable storage medium. Background technique [0002] In recent years, machine learning technology in the field of artificial intelligence has begun to play an important role in more and more fields such as Internet click prediction, computer vision, speech recognition, and automatic driving. [0003] Automatic machine learning is usually divided into two parts: machine learning and automatic parameter tuning. Among them, the machine learning part is used to use sample data to train the model, and the automatic parameter adjustment part is used to adjust the parameters of the model based on a certain parameter adjustment strategy during the model training process, so as to obtain the optimal model structure. [0004] Dee...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06N20/00
CPCG06N20/00G06F18/24G06F18/214
Inventor 付琰陈亮辉周洋杰方军
Owner BEIJING BAIDU NETCOM SCI & TECH CO LTD
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