Neural network generation method and device, electronic equipment and storage medium

A neural network and network technology, applied in the computer field, can solve problems such as low search convergence efficiency and difficulty in finding the optimal structure

Active Publication Date: 2019-04-09
BEIJING SENSETIME TECH DEV CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Too small search space introduces a bias that makes it difficult to find the optim

Method used

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  • Neural network generation method and device, electronic equipment and storage medium
  • Neural network generation method and device, electronic equipment and storage medium
  • Neural network generation method and device, electronic equipment and storage medium

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Embodiment Construction

[0064] Various exemplary embodiments, features, and aspects of the present disclosure will be described in detail below with reference to the accompanying drawings. The same reference numbers in the figures indicate functionally identical or similar elements. While various aspects of the embodiments are shown in drawings, the drawings are not necessarily drawn to scale unless specifically indicated.

[0065]The word "exemplary" is used exclusively herein to mean "serving as an example, embodiment, or illustration." Any embodiment described herein as "exemplary" is not necessarily to be construed as superior or better than other embodiments.

[0066] The term "and / or" in this article is just an association relationship describing associated objects, which means that there can be three relationships, for example, A and / or B can mean: A exists alone, A and B exist simultaneously, and there exists alone B these three situations. In addition, the term "at least one" herein means...

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Abstract

The invention relates to a neural network generation method and device, electronic equipment and a storage medium. The method comprises the following steps: sampling a plurality of adaptive sampling networks from a search space according to a preset network type; Respectively inputting the plurality of sampling networks into a network evaluation model for processing to obtain network evaluation values of the plurality of sampling networks, wherein the network evaluation model comprises a mirror image stimulation function for representing a topological structure of a preset reference network and/or an accuracy rate function for representing the accuracy rate; and generating a target network according to the network evaluation values of the plurality of sampling networks. According to the embodiment of the invention, by introducing the mirror image stimulation function representing the topological structure of the reference network, the high-precision neural network can be automaticallysearched.

Description

technical field [0001] The present disclosure relates to the field of computer technology, and in particular to a method and device for generating a neural network, electronic equipment, and a storage medium. Background technique [0002] The automatic network structure search is a way to determine the network structure of the neural network, which replaces the process of manually designing the network by searching for the network structure with the highest performance for the specified data set in the search space of the network structure. Since the manual design of the network requires a lot of experience and repeated trial and error experiments, the automatic search of the network structure greatly saves the cost of designing the network structure and speeds up the efficiency of the network structure update. [0003] However, according to the automatic search algorithm of the related art, the topological structure of the searched network is usually very complex, resulting...

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Application Information

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IPC IPC(8): G06N3/04
CPCG06N3/04
Inventor 郭明皓
Owner BEIJING SENSETIME TECH DEV CO LTD
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