Mobile web deep learning cooperation method and system

A deep learning, web browser technology, applied in the field of mobile Internet, can solve problems such as low throughput and high delay, and achieve the effect of increasing throughput, reducing computing delay, reducing transmission and feedforward computing delay

Active Publication Date: 2020-02-14
BEIJING UNIV OF POSTS & TELECOMM
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Embodiments of the present invention provide a mobile web deep learning collaboration method and system to solve the defects of high delay and low throughput in the prior art when mobile networks perform deep learning

Method used

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  • Mobile web deep learning cooperation method and system
  • Mobile web deep learning cooperation method and system
  • Mobile web deep learning cooperation method and system

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Embodiment Construction

[0048] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0049] figure 1 A flow chart of a mobile web deep learning collaboration method provided by an embodiment of the present invention, such as figure 1 shown, including:

[0050] S1, loading the target task through the mobile web browser, preprocessing the target task, and sending a deep learning calculation request to the edge server;

[005...

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Abstract

The embodiment of the invention provides a mobile web deep learning cooperation method and system. The method comprises the steps of loading a target task through a mobile web browser, preprocessing the target task, and sending a deep learning calculation request to an edge server; the edge server calculating a compressed deep neural network model demand according to the deep learning calculationrequest and the current context information, and returning a satisfied compressed deep neural network model to the mobile web browser; the mobile web browser receiving and executing a feedforward process of compressing the deep neural network to obtain a first task calculation result, and taking the first convolutional layer as a temporary storage result of the shared layer; the mobile web browsercalculating the standard cross entropy of the first task calculation result, and if it is judged that the standard cross entropy is larger than a preset threshold value, receiving the first task calculation result. According to the mobile Web deep learning cooperation provided by the embodiment of the invention, the transmission and feedforward calculation time delay of the model is effectively reduced.

Description

technical field [0001] The present invention relates to the technical field of mobile Internet, in particular to a method and system for mobile web deep learning collaboration. Background technique [0002] As neural networks are applied in more and more fields, deep learning has successfully applied a large number of computationally intensive tasks in native platforms, such as image recognition, speech recognition and natural language processing. Related research combines deep learning with cross-platform Web technology, which can effectively provide users with lightweight, cross-platform intelligent services. [0003] Due to the lack of optimized low-level APIs, the web is now unable to support advanced deep learning use cases in a performant manner. Therefore, the Web Community Group of the World Wide Web Consortium is actively promoting the innovation, incubation and research of deep learning to promote the development of the Web. For example, the World Wide Web Consor...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F9/50G06N3/04
CPCG06F9/5038G06N3/045
Inventor 乔秀全黄亚坤商彦磊
Owner BEIJING UNIV OF POSTS & TELECOMM
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