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Model training method, model prediction method, and model control system

A technology of model training and training methods, applied in the field of artificial intelligence, can solve problems such as a large number of code writing, complex operation process, and high difficulty, and achieve the effect of improving convenience and processing efficiency

Pending Publication Date: 2021-05-14
SHANGHAI YOUYANG XINMEI INFORMATION TECH CO LTD
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AI Technical Summary

Problems solved by technology

However, this process requires a lot of code writing, and the operation process is complicated and difficult

Method used

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  • Model training method, model prediction method, and model control system
  • Model training method, model prediction method, and model control system
  • Model training method, model prediction method, and model control system

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Embodiment Construction

[0023] The technical solutions in the embodiments of the present application will be described below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, but not all of the embodiments. With regard to the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.

[0024] Artificial Intelligence (AI) is a theory, method, technology and application system that uses digital computers or machines controlled by digital computers to simulate, extend and expand human intelligence, perceive the environment, acquire knowledge and use knowledge to obtain the best results. In other words, artificial intelligence is a comprehensive technique of computer science that attempts to understand the nature of intelligence and produce a new kind of in...

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Abstract

The embodiment of the invention provides a model training method, a model prediction method and a model control system. Configuration information of the target model is obtained, the configuration information comprises a first storage path and training resource information, a training sample set and training model information required for training the target model are read from a storage space corresponding to the first storage path, and the training model information is used for determining a model training program required for training the target model; and based on the training resource information, n training nodes are selected from the server cluster, n is greater than 1, and through the n training nodes and the model training program, based on the training sample set, a target model is obtained through training. Automatic model training is realized, and the convenience of model training is improved.

Description

technical field [0001] The embodiments of the present application relate to the technical field of artificial intelligence, and more specifically, to a model training method, a model prediction method, and a model control system. Background technique [0002] With the continuous development of the field of artificial intelligence (AI) technology, it is often necessary to train a model based on distributed computing and use the model to make predictions, so as to improve processing efficiency. [0003] At present, in the process of converting a stand-alone model into a distributed model, technicians need to manually call the CPU or GPU in the server cluster and manually create the model. However, this process requires a lot of code writing, and the operation process is complex and difficult. Contents of the invention [0004] Embodiments of the present application provide a model training method, a model prediction method, and a model control system, thereby simplifying th...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F9/50G06N3/08G06N3/04
CPCG06F9/5027G06N3/08G06N3/044
Inventor 杨斌李正文徐健刘光华赵寒
Owner SHANGHAI YOUYANG XINMEI INFORMATION TECH CO LTD
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