Model training method, electronic equipment and computer readable storage medium

A technology for model training and training sets, applied in computer parts, computing, computing models, etc., can solve the problems of increasing the difficulty of freezing layers, unclear model structure, missing models, etc., and achieve the effect of saving computing resources and computing time.

Pending Publication Date: 2020-12-01
CHINA MOBILEHANGZHOUINFORMATION TECH CO LTD +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

This patented technology allows users to create custom models without having to train them yourself beforehand. Instead they use this process instead of just starting up after getting started. They see how well their current version works but don't really know what kind of thing we want to learn about. By doing this, these systems save money while still being able to provide accurate results quickly.

Problems solved by technology

This patented technical problem addressed in this patents relates to improving the efficiency and accuracy of migrating neural networks towards different domains during training without sacrificing significant resources needed.

Method used

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

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Embodiment Construction

[0026]In order to make the purpose, technical solutions and advantages of the embodiments of the present invention more clear, various implementation modes of the present invention will be described in detail below in conjunction with the accompanying drawings. However, those of ordinary skill in the art can understand that, in each implementation manner of the present invention, many technical details are provided for readers to better understand the present application. However, even without these technical details and various changes and modifications based on the following implementation modes, the technical solution claimed in this application can also be realized. The division of the following embodiments is for the convenience of description, and should not constitute any limitation to the specific implementation of the present invention, and the various embodiments can be combined and referred to each other on the premise of no contradiction.

[0027] In order to facilita

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Abstract

The embodiment of the invention relates to the field of machine deep learning, and discloses a model training method, electronic equipment and a computer readable storage medium. The model training method comprises the following steps: performing migrating based on a preset pre-training model, and constructing a target model; obtaining a training set for training the target model; visualizing thetarget model, and determining a model structure of the target model; determining a to-be-frozen layer and a non-frozen layer of the target model according to the model structure, wherein the non-freezing layer is a network layer needing to be trained; and training the non-frozen layer according to the training set and the target model. According to the model training method provided by the embodiment of the invention, the feature information of the pre-training model can be highly utilized, the training effect of the target model is improved, and the risk of model overfitting is effectively avoided.

Description

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Claims

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Application Information

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Owner CHINA MOBILEHANGZHOUINFORMATION TECH CO LTD
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