Method, device and system for processing data

A technology for processing data, raw data, applied in the computer field

Pending Publication Date: 2020-10-30
BAIDU COM TIMES TECH (BEIJING) CO LTD +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

At present, the method to achieve multi-model design is basically to use chips with stronger computing power, but the limitation of a single chip on multi-model parallelism, the increase in the cost of chips with stronger computing power, and the real-time demand for flexible configuration of multiple models in actual use cases There has always been a contradiction between

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  • Method, device and system for processing data
  • Method, device and system for processing data
  • Method, device and system for processing data

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Embodiment Construction

[0030] The present disclosure 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 related inventions, rather than to limit the invention. It should also be noted that, for the convenience of description, only the parts related to the related invention are shown in the drawings.

[0031] It should be noted that, in the case of no conflict, the embodiments in the present disclosure and the features in the embodiments can be combined with each other. The present disclosure will be described in detail below with reference to the accompanying drawings and embodiments.

[0032] figure 1 An exemplary system architecture 100 is shown to which an embodiment of a method for processing data or an apparatus for processing data of the present disclosure may be applied.

[0033] Such as figure 1 As shown, the system architecture 100 may inclu...

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Abstract

The embodiment of the invention discloses a method, device and system for processing data. A specific embodiment of the method comprises the steps of receiving a deep learning request which comprisesa learning target and original data; determining a target deep learning module required for completing the learning target; sending the original data to a target deep learning module; and obtaining adata processing result returned by the target deep learning module. According to the embodiment, specific deep learning modules can be customized according to requirements. The deep learning modular design is not only flexible, but also convenient to migrate to similar projects.

Description

technical field [0001] Embodiments of the present disclosure relate to the field of computer technology, and in particular to methods and devices for processing data. Background technique [0002] Edge computing systems based on deep learning often require multiple models, and these models are either parallel, serial, or a hybrid form. At present, the method to achieve multi-model design is basically to use chips with stronger computing power, but the limitation of a single chip on multi-model parallelism, the increase in the cost of chips with stronger computing power, and the real-time demand for flexible configuration of multiple models in actual use cases There have always been contradictions. Contents of the invention [0003] Embodiments of the present disclosure propose methods and apparatuses for processing data. [0004] In a first aspect, an embodiment of the present disclosure provides a method for processing data, including: receiving a deep learning request ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N20/00
CPCG06N20/00
Inventor 寇浩锋付鹏周仁义程治宇包英泽
Owner BAIDU COM TIMES TECH (BEIJING) CO LTD
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