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Method for obtaining neural network model, and image processing method and device

A neural network model and network model technology, applied in the field of artificial intelligence, can solve problems such as high training cost

Pending Publication Date: 2021-10-29
HUAWEI TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the training resources required by AutoML, such as training machines, training data, etc., are often much larger than ordinary neural network models, and the training cost of AutoML is also much higher than that of ordinary neural network models.

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  • Method for obtaining neural network model, and image processing method and device
  • Method for obtaining neural network model, and image processing method and device
  • Method for obtaining neural network model, and image processing method and device

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Embodiment Construction

[0087] The following will describe the technical solutions in the embodiments of the application with reference to the drawings in the embodiments of the application. Apparently, the described embodiments are only some of the embodiments of the application, not all of them. Based on 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.

[0088] figure 1 A schematic diagram of an artificial intelligence main framework is shown, which describes the overall workflow of an artificial intelligence system and is applicable to general artificial intelligence field requirements.

[0089] The following is a detailed elaboration of the above artificial intelligence theme framework from the two dimensions of "intelligent information chain" (horizontal axis) and "information technology (IT) value chain" (vertical axis).

[0090] "Intelligent informa...

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Abstract

The invention discloses a method for obtaining a neural network model and an image processing method and device in the field of artificial intelligence. The method for obtaining the neural network model comprises the following steps: obtaining a pre-trained super-network model, wherein the pre-trained super-network model is obtained by training based on a source data set; obtaining a target data set, wherein a task corresponding to the target data set is the same as a task corresponding to the source data set; carrying out transfer learning on a pre-trained super-network model based on the target data set to obtain a super-network model after transfer learning; and searching a sub-network model in the super-network model after transfer learning to obtain a target neural network model. According to the method, the training cost can be reduced in the process of obtaining the required neural network model, and the performance of the neural network model is improved.

Description

technical field [0001] The present application relates to the field of artificial intelligence, and more specifically, relates to a method for obtaining a neural network model, an image processing method and an apparatus. Background technique [0002] 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 the branch of computer science that attempts to understand the nature of intelligence and produce a new class of intelligent machines that respond in ways similar to human intelligence. Artificial intelligence is to study the design principles and implementation methods of various intelligent machines, so that the machines have the functions of perception, reasoning and decision-making. Resear...

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Application Information

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IPC IPC(8): G06N3/04G06N3/08
CPCG06N3/084G06N3/045G06N3/04G06N3/08
Inventor 田沈晶黄泽毅徐凯翔唐少华
Owner HUAWEI TECH CO LTD