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Model training method, model calling method, device and readable storage medium

A model training and model technology, applied in the field of artificial intelligence, can solve problems such as long time, cost, and inability to guarantee the accuracy of artificial intelligence models, and achieve the effect of improving accuracy

Active Publication Date: 2022-06-21
超参数科技(深圳)有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, realizing an artificial intelligence model based on DNN and supervised learning requires a large amount of high-quality sample data in order to train an effective artificial intelligence model, but the collection of high-quality sample data is difficult and takes a lot of time. Ensuring the accuracy of AI models

Method used

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  • Model training method, model calling method, device and readable storage medium
  • Model training method, model calling method, device and readable storage medium
  • Model training method, model calling method, device and readable storage medium

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Embodiment Construction

[0027] 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.

[0028] 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.

[0029] Embodiments of the present application provide a model training me...

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Abstract

The present application provides a model training method, a model calling method, a device and a readable storage medium, the method including: calling each training participant's corresponding artificial intelligence model, and controlling each training participant to perform a corresponding sample generation operation; After the sample generation operation is completed, obtain the sample data corresponding to the sample generation operation; perform feature extraction on the sample data to obtain image-like features and vector features; The intelligent model is updated for training; if the updated artificial intelligence model does not converge, the following steps are performed: based on the preset participation logic data, call the corresponding artificial intelligence model of each training participant, and control each training participant to execute the corresponding A sample generation operation; if the updated artificial intelligence model converges, store the updated artificial intelligence model. This application improves the accuracy of artificial intelligence models.

Description

technical field [0001] The present application relates to the technical field of artificial intelligence, and in particular, to a model training method, a model calling method, a device, and a computer-readable storage medium. Background technique [0002] With the rapid development of artificial intelligence (Artificial Intelligence, AI) technology, artificial intelligence technology is widely used in various fields. For example, in the field of game entertainment, artificial intelligence technology can realize the connection between virtual users and real people in board games. game, and can beat the top professional players. At present, artificial intelligence models are mainly implemented based on Deep Neural Network (DNN) and supervised learning. However, implementing an artificial intelligence model based on DNN and supervised learning requires a large amount of high-quality sample data in order to train an artificial intelligence model with better effect. However, th...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06V10/82G06V10/40G06N3/04G06N3/08
CPCG06N3/084G06V10/40G06N3/045
Inventor 朱晓龙李宏亮周正汤善敏季兴武建芳郭仁杰黄军万富强张正生刘永升
Owner 超参数科技(深圳)有限公司