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Machine learning operation distribution system and method

A machine learning and distribution system technology, applied in the field of information processing, can solve the problems of low processing efficiency of machine learning algorithms

Active Publication Date: 2020-04-21
CAMBRICON TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Based on this, it is necessary to provide a machine learning operation distribution system and method with high processing efficiency for the problem of low processing efficiency of the above machine learning algorithm

Method used

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  • Machine learning operation distribution system and method
  • Machine learning operation distribution system and method
  • Machine learning operation distribution system and method

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Embodiment Construction

[0028] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.

[0029] In one embodiment, a distribution system for machine learning calculation is provided, and the distribution system includes: a cloud server 10 and a terminal server 20 .

[0030] Generate corresponding computing tasks according to the demand information, and select the first machine learning algorithm running on the terminal server 20 according to the computing tasks and the hardware performance parameters of the terminal server 20, and select the first machine learning algorithm running on the terminal server 20 according to the computing tasks and the hardware of t...

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Abstract

The invention relates to a distribution system for machine learning operation, which can obtain an operation result with lower accuracy when a first machine learning algorithm with lower operation capability is used for calculating an operation task in a terminal server according to a control instruction of the terminal server. And when the same operation task is also calculated by using a secondmachine learning algorithm with relatively high operation capability in the cloud server according to the control instruction of the cloud server, an operation result with relatively high accuracy canbe obtained. Thus, different machine learning algorithms are flexibly used for respectively executing the same operation task based on the requirements of the user, so that the user can respectivelyobtain an operation result with lower accuracy and an operation result with higher accuracy. Moreover, as the operational capability of the terminal server is relatively weak, the operational result of the terminal can be output firstly, so that the user does not need to wait for a long time, and the processing efficiency is improved.

Description

technical field [0001] The present invention relates to the technical field of information processing, in particular to a machine learning operation distribution system and method. Background technique [0002] Machine learning has made major breakthroughs in recent years. For example, in machine learning technology, neural network models trained with deep learning algorithms have achieved remarkable results in image recognition, speech processing, intelligent robots and other application fields. The deep neural network simulates the neural connection structure of the human brain by building a model, and describes the data features hierarchically through multiple transformation stages when processing signals such as images, sounds, and texts. However, as the complexity of machine learning algorithms continues to increase, machine learning technology has problems such as large resource occupation, slow operation speed, and large energy consumption in the actual application pr...

Claims

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Application Information

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IPC IPC(8): G06N20/00G06F9/30
CPCG06F9/30007
Inventor 不公告发明人
Owner CAMBRICON TECH CO LTD
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