Model training method, electronic equipment and storage medium

A model training and model technology, applied in computing models, neural learning methods, biological neural network models, etc., can solve the problems of neural network structure search and waiting, and achieve the effect of improving accuracy

Pending Publication Date: 2022-05-27
共达地创新技术(深圳)有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The embodiment of the present application provides a model training method, electronic equipment and storage medium, aiming at solving the problem of waiting for a long time for neural network structure search, saving time and cost, and providing a more user-friendly experience

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

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Embodiment Construction

[0040] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present application.

[0041] The flowcharts shown in the figures are for illustration only, and do not necessarily include all contents and operations / steps, nor do they have to be performed in the order described. For example, some operations / steps can also be decomposed, combined or partially combined, so the actual execution order may be changed according to the actual situation.

[0042] As used in this specification and the appended claims, the term "a...

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Abstract

The invention relates to the technical field of machine learning, and particularly discloses a model training method, electronic equipment and a storage medium, and the method comprises the steps: obtaining a pre-trained super network model; determining a plurality of target sub-network models from a preset number of sub-network models of the super-network model; obtaining a plurality of mainstream network models based on open source data training; splicing each target sub-network model as a first backbone network with a first branch network to obtain a plurality of first spliced networks, and splicing each mainstream network model as a second backbone network with a second branch network to obtain a plurality of second spliced networks; performing fine tuning and testing on the plurality of first spliced networks and the plurality of second spliced networks to determine a target network model; and carrying out transfer learning on the target network model to obtain a required model, thereby realizing convenience and intelligence of model training, and improving user experience.

Description

technical field [0001] The present application relates to the technical field of machine learning, and in particular, to a model training method, electronic device and storage medium. Background technique [0002] Neural Architecture Search (NAS) is one of the hotspots in the field of Automated Machine Learning (AutoML). By designing a cost-effective search method, a neural network with strong generalization ability and friendly hardware requirements can be automatically obtained. Therefore, a lot of manpower and material resources can be saved. The main working principle of NAS is to first define the search space, then find out the candidate network structures through the search strategy, evaluate them, and perform the next round of search according to the feedback until the target network structure is searched, and the automatic machine based on the target network structure is performed. Learn to get the model you need. [0003] However, the existing NAS search process i...

Claims

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Application Information

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IPC IPC(8): G06N3/04G06N3/08G06N20/00
CPCG06N3/08G06N20/00G06N3/045
Inventor 蒋阳豆泽阳庞磊赵丛
Owner 共达地创新技术(深圳)有限公司
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