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Electronic device for applying personalized artificial intelligence model to another model

A technology of electronic device and neural network model, applied in the field of electronic device

Pending Publication Date: 2022-04-01
SAMSUNG ELECTRONICS CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] If a new version of the neural network model is received, the personalized artificial intelligence (AI) model is no longer used by using the old version of the neural network model in the device, so there is a training of the new version of the neural network model to be used again for personalization the inconvenience

Method used

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  • Electronic device for applying personalized artificial intelligence model to another model
  • Electronic device for applying personalized artificial intelligence model to another model
  • Electronic device for applying personalized artificial intelligence model to another model

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Embodiment Construction

[0061] Before describing the present disclosure in detail, an overview for understanding the present disclosure and the accompanying drawings will be provided.

[0062] Terms used in the present disclosure and claims are general terms recognized in consideration of functions of various exemplary embodiments of the present disclosure. However, these terms may vary depending on intentions of those skilled in the relevant technical field, legal or technical interpretations, appearance of new technologies, and the like. Also, some arbitrary terms may be used. Unless there is a specific definition of the term, the term can be understood based on the overall content and technical general knowledge of those skilled in the relevant art.

[0063] Furthermore, like reference numerals designate like components that perform substantially the same function throughout this disclosure. For ease of description and understanding, the same reference numerals or symbols are used and described ...

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PUM

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Abstract

An electronic device includes: at least one memory configured to store at least one instruction and a first neural network model; a communicator including communication circuitry; and at least one processor configured to execute the at least one instruction to: receive, by the communicator, information about a second neural network model stored in the external electronic device from the external electronic device; comparing the first neural network model with the second neural network model based on information about the second neural network model; and controlling the communicator to transmit information on a weight between nodes of the first neural network model to the external electronic device based on a comparison between the second neural network model and the first neural network model.

Description

technical field [0001] The present disclosure relates to an electronic device for applying a personalized or customized neural network model to another neural network model. More particularly, the present disclosure relates to an electronic device that effectively reflects a training result in personalization or customization of an individualized or customized neural network model to another electronic device or another neural network model. Background technique [0002] Artificial neural network models can be designed and trained to perform a wide variety of functions, and its application techniques include image processing, speech recognition, inference / prediction, knowledge representation, and motion control. [0003] The neural network model can be stored in the user's electronic device, and can be trained and personalized based on the user's individual input or the user's personal information in the electronic device. [0004] A server (such as an application provider)...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N3/04G06N3/08G06K9/62H04L67/10G06V10/774G06V10/82
CPCG06F9/54G06V10/82H04L67/1004G06N3/045G06N3/096G06N3/08G06F8/71G06N3/04
Inventor 宋胄容金在德金正旭
Owner SAMSUNG ELECTRONICS CO LTD
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