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Object relationship construction method and device for inference model

An object relationship and construction method technology, applied in the computer field, can solve problems such as poor applicability and complex deep learning model conditions.

Inactive Publication Date: 2019-10-11
POTEVIO INFORMATION TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In other words, the conditions for the establishment of the deep learning model are more complicated and the applicability is poor

Method used

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  • Object relationship construction method and device for inference model
  • Object relationship construction method and device for inference model
  • Object relationship construction method and device for inference model

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Embodiment approach

[0027] In some implementation manners, there may be many ways to combine target objects corresponding to different types of data sources in step S102. It can be understood that the types of data sources mixed in the mixed samples may be different in the way of combining the target objects. The following describes an optional implementation of target object combination when the mixed sample contains image data and natural language data, including:

[0028] S2011. Combining all the image target objects corresponding to the image data in pairs to obtain several image secondary combination pairs;

[0029] S2012. Combining all the natural language target objects corresponding to the natural language data in pairs to obtain several natural language secondary combination pairs;

[0030] S2013. Randomly combine the image secondary combination pair with the natural language secondary combination pair to obtain a combination pair.

[0031] For details, please refer to image 3 , go t...

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Abstract

The embodiment of the invention provides an object relationship construction method and device for an inference model. The method comprises: performing object extraction on different data sources based on different reasoning models; obtaining a corresponding target object, combining the target objects corresponding to the various types of data according to a preset rule; and using the obtained combination pair as input data to be trained, so that the problem of object relationship construction of various types of mixed source data is solved, a simple, effective and easily-implemented construction mode of a complex object relationship is provided for training of an inference model, and the joint training efficiency of different data source data targets is improved.

Description

technical field [0001] The embodiments of the present invention relate to the field of computer technology, and in particular to a reasoning model-oriented object relationship construction method and device. Background technique [0002] A trained neural network can apply what it has learned to tasks in the digital world in general—recognizing images, recognizing speech, detecting disease, or recommending advertisements, to name a few. This faster and more efficient way for a neural network to make inferences about new data it acquires based on what it was trained on is known as inference. Inference can be generated without training, and inference tasks often do not require all the infrastructure of their training schemes to achieve good results. The goal of training (similar to human receiving education) is knowledge acquisition, and the training of neural network is quite different from the process of human receiving education. Neurons in the human brain can be connected...

Claims

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Application Information

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IPC IPC(8): G06N3/08G06N5/04
CPCG06N3/082G06N5/04
Inventor 李乃鹏
Owner POTEVIO INFORMATION TECH
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