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Neural network searching method and device and electronic equipment

A technology of neural network and search method, which is applied in the field of neural network search method, device and electronic equipment, can solve problems such as low efficiency, and achieve the effect of improving construction efficiency, improving calculation efficiency and accuracy

Pending Publication Date: 2021-03-26
BEIJING BAIDU NETCOM SCI & TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In related technologies, lightweight neural network models can be manually designed, but the efficiency is low

Method used

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  • Neural network searching method and device and electronic equipment
  • Neural network searching method and device and electronic equipment
  • Neural network searching method and device and electronic equipment

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Embodiment Construction

[0021] Exemplary embodiments of the present application are described below in conjunction with the accompanying drawings, which include various details of the embodiments of the present application to facilitate understanding, and they should be regarded as exemplary only. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the application. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.

[0022] The following is a brief description of the technical field involved in the scheme of the present application:

[0023] Artificial intelligence is a discipline that studies the use of computers to simulate certain human thinking processes and intelligent behaviors (such as learning, reasoning, thinking, planning, etc.), both at the hardware level and at the so...

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Abstract

The invention discloses a neural network search method and device and electronic equipment, and relates to the technical field of artificial intelligence, in particular to the technical field of deeplearning and computer vision. The method comprises steps: obtaining all candidate network structures corresponding to the neural network from a search space, wherein each candidate network structure comprises operator codes corresponding to all layers; determining the total time consumption of each candidate network structure based on the preset operation time consumption of each operator code ineach type of equipment and the operator code corresponding to each layer; obtaining the precision of each candidate network structure on the test set; and determining a target network structure corresponding to the neural network according to the precision of each candidate network structure on the test set and the total time consumption. Therefore, through the neural network search method, the construction efficiency of the neural network structure is improved, the computing resources of the heterogeneous equipment can be fully utilized, and the computing efficiency and precision of the neural network are improved.

Description

technical field [0001] This application relates to the technical field of artificial intelligence, in particular to the technical field of deep learning and computer vision, and proposes a neural network search method, device and electronic equipment. Background technique [0002] Deep learning is currently widely used in computer applications such as image processing, natural language processing, and recommendation. Since deep learning models usually require more computing resources, for electronic devices with limited computing resources, lightweight neural network models are usually required to achieve efficient operations. [0003] In related technologies, a lightweight neural network model can be manually designed, but the efficiency is low. Contents of the invention [0004] The present application provides a search method, device, electronic equipment, storage medium and computer program product for a neural network. [0005] According to one aspect of the present...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06N3/045G06F18/214
Inventor 张健
Owner BEIJING BAIDU NETCOM SCI & TECH CO LTD
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