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Model constructing method and system, and non-transitory computer readable storage medium

A technology of models and computer programs, applied in neural learning methods, biological neural network models, neural architectures, etc., to achieve good accuracy and performance

Active Publication Date: 2019-12-03
HTC CORP
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Existing neural network training methods do not learn the connection relationship between layers, only use the predefined connection paths between layers, and do not dynamically search for the best model architecture

Method used

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  • Model constructing method and system, and non-transitory computer readable storage medium
  • Model constructing method and system, and non-transitory computer readable storage medium
  • Model constructing method and system, and non-transitory computer readable storage medium

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Embodiment Construction

[0036] The following will clearly illustrate the spirit of the present disclosure with the accompanying drawings and detailed descriptions. After understanding the embodiments of the present disclosure, any person with ordinary knowledge in the technical field can make changes and modifications based on the techniques taught in the present disclosure. It does not depart from the spirit and scope of this disclosure.

[0037] As used herein, "electrically connected" may refer to two or more elements that are in direct physical or electrical contact with each other, or indirect physical or electrical contact with each other, and "electrical connection" may also refer to two or more elements interoperate or act.

[0038] The terms "first", "second", ... etc. used herein do not specifically refer to a sequence or order, nor are they used to limit the present invention, but are only used to distinguish elements or components described with the same technical terms. operate.

[003...

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PUM

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Abstract

A model constructing method for a neural network model applicable for image recognition processing is disclosed. The model constructing method includes the following operation: updating, by a processor, a plurality of connection variables between a plurality of layers of the neural network model, according to a plurality of inputs and a plurality of outputs of the neural network model. The plurality of outputs represent a plurality of image recognition results. The plurality of connection variables represent a plurality of connection intensities between each two of the plurality of layers.

Description

technical field [0001] The application relates to a model construction method of a neural network model, a model construction system and a non-volatile computer-readable recording medium. Specifically, the present application relates to a model construction method for dynamically optimizing a neural network structure, a model construction system, and a non-volatile computer-readable recording medium. Background technique [0002] In recent years, neural networks have been effectively applied in different technical fields. Existing approaches to training neural networks require pre-defined model architectures. Existing neural network training methods do not learn the connection relationship between layers, but only use the predefined connection paths between layers, and do not dynamically search for the best model architecture. Contents of the invention [0003] An embodiment of the present application relates to a model construction method applicable to a neural network ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N3/04G06N3/063G06V10/764
CPCG06N3/04G06N3/063G06N3/08G06V10/94G06V10/82G06V10/764G06N3/048G06N3/045G06F18/21
Inventor 林政宪杨东庭杨宏毅
Owner HTC CORP