ELECTRONIC DEVICE AND CONTROL METHOD THEREOF

An electronic device is disclosed. The present electronic device may comprise: a memory in which information on a first artificial intelligence model learned through first learning data and information on a second artificial intelligence model learned through the first learning data are stored; and...

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Hauptverfasser: SONG, Wonseok, KIM, Youngbin, SON, Wonchul, HWANG, Wonjun, LEE, Huijung, MOON, Youngsu, JO, Younghun, KOO, Gangmo
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creator SONG, Wonseok
KIM, Youngbin
SON, Wonchul
HWANG, Wonjun
LEE, Huijung
MOON, Youngsu
JO, Younghun
KOO, Gangmo
description An electronic device is disclosed. The present electronic device may comprise: a memory in which information on a first artificial intelligence model learned through first learning data and information on a second artificial intelligence model learned through the first learning data are stored; and a processor connected to the memory to control the electronic device, wherein the processor inputs second learning data to each of the first artificial intelligence model and the second artificial intelligence model and relearns the second artificial intelligence model on the basis of an output of each of a plurality of first layers included in the first artificial intelligence model and an output of each of a plurality of second layers included in the second artificial intelligence model, each of the plurality of first layers includes a plurality of two-dimensional filters, and each of the plurality of second layers includes a plurality of filters obtained by reducing the size of each of the plurality of two-dimensional filters of a corresponding first layer. L'invention concerne un dispositif électronique. Le dispositif électronique de l'invention peut comprendre : une mémoire dans laquelle sont stockées des informations sur un premier modèle d'intelligence artificielle apprises au moyen de premières données d'apprentissage et des informations sur un second modèle d'intelligence artificielle apprises au moyen de premières données d'apprentissage ; et un processeur connecté à la mémoire pour commander le dispositif électronique. Le processeur entre des secondes données d'apprentissage dans chacun des premier et second modèles d'intelligence artificielle et réapprend le second modèle d'intelligence artificielle d'après une sortie de chaque couche d'une pluralité de premières couches incluses dans le premier modèle d'intelligence artificielle, et une sortie de chaque couche d'une pluralité de secondes couches incluses dans le second modèle d'intelligence artificielle, chaque couche de la pluralité de premières couches comprenant une pluralité de filtres bidimensionnels, et chaque couche de la pluralité de secondes couches comprenant une pluralité de filtres obtenus en réduisant la taille de chaque filtre de la pluralité de filtres bidimensionnels d'une première couche correspondante. 전자 장치가 개시된다. 본 전자 장치는 제1 학습 데이터를 통해 학습된 제1 인공 지능 모델에 대한 정보 및 제1 학습 데이터를 통해 학습된 제2 인공 지능 모델에 대한 정보가 저장된 메모리 및 메모리와 연결되어 전자 장치를 제어하는 프로세서를 포함하며, 프로세서는 제2 학습 데이터를 제1 인공 지능 모델 및 제2 인공 지능
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fullrecord <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_WO2021182748A1</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>WO2021182748A1</sourcerecordid><originalsourceid>FETCH-epo_espacenet_WO2021182748A13</originalsourceid><addsrcrecordid>eNrjZNBx9XF1Dgny9_N0VnBxDfN0dlVw9HNRcPb3Awr6KPi6hnj4uyiEeLgGufq78TCwpiXmFKfyQmluBmU31xBnD93Ugvz41OKCxOTUvNSS-HB_IwMjQ0MLI3MTC0dDY-JUAQAgFCYD</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>ELECTRONIC DEVICE AND CONTROL METHOD THEREOF</title><source>esp@cenet</source><creator>SONG, Wonseok ; KIM, Youngbin ; SON, Wonchul ; HWANG, Wonjun ; LEE, Huijung ; MOON, Youngsu ; JO, Younghun ; KOO, Gangmo</creator><creatorcontrib>SONG, Wonseok ; KIM, Youngbin ; SON, Wonchul ; HWANG, Wonjun ; LEE, Huijung ; MOON, Youngsu ; JO, Younghun ; KOO, Gangmo</creatorcontrib><description>An electronic device is disclosed. The present electronic device may comprise: a memory in which information on a first artificial intelligence model learned through first learning data and information on a second artificial intelligence model learned through the first learning data are stored; and a processor connected to the memory to control the electronic device, wherein the processor inputs second learning data to each of the first artificial intelligence model and the second artificial intelligence model and relearns the second artificial intelligence model on the basis of an output of each of a plurality of first layers included in the first artificial intelligence model and an output of each of a plurality of second layers included in the second artificial intelligence model, each of the plurality of first layers includes a plurality of two-dimensional filters, and each of the plurality of second layers includes a plurality of filters obtained by reducing the size of each of the plurality of two-dimensional filters of a corresponding first layer. L'invention concerne un dispositif électronique. Le dispositif électronique de l'invention peut comprendre : une mémoire dans laquelle sont stockées des informations sur un premier modèle d'intelligence artificielle apprises au moyen de premières données d'apprentissage et des informations sur un second modèle d'intelligence artificielle apprises au moyen de premières données d'apprentissage ; et un processeur connecté à la mémoire pour commander le dispositif électronique. Le processeur entre des secondes données d'apprentissage dans chacun des premier et second modèles d'intelligence artificielle et réapprend le second modèle d'intelligence artificielle d'après une sortie de chaque couche d'une pluralité de premières couches incluses dans le premier modèle d'intelligence artificielle, et une sortie de chaque couche d'une pluralité de secondes couches incluses dans le second modèle d'intelligence artificielle, chaque couche de la pluralité de premières couches comprenant une pluralité de filtres bidimensionnels, et chaque couche de la pluralité de secondes couches comprenant une pluralité de filtres obtenus en réduisant la taille de chaque filtre de la pluralité de filtres bidimensionnels d'une première couche correspondante. 전자 장치가 개시된다. 본 전자 장치는 제1 학습 데이터를 통해 학습된 제1 인공 지능 모델에 대한 정보 및 제1 학습 데이터를 통해 학습된 제2 인공 지능 모델에 대한 정보가 저장된 메모리 및 메모리와 연결되어 전자 장치를 제어하는 프로세서를 포함하며, 프로세서는 제2 학습 데이터를 제1 인공 지능 모델 및 제2 인공 지능 모델 각각에 입력하고, 제1 인공 지능 모델에 포함된 복수의 제1 레이어 각각의 출력 및 제2 인공 지능 모델에 포함된 복수의 제2 레이어 각각의 출력에 기초하여 제2 인공 지능 모델을 재학습하며, 복수의 제1 레이어 각각은 복수의 2차원 필터를 포함하고, 복수의 제2 레이어 각각은 대응되는 제1 레이어의 복수의 2차원 필터 각각의 크기가 축소된 복수의 필터를 포함할 수 있다.</description><language>eng ; fre ; kor</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; PHYSICS</subject><creationdate>2021</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20210916&amp;DB=EPODOC&amp;CC=WO&amp;NR=2021182748A1$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25543,76293</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20210916&amp;DB=EPODOC&amp;CC=WO&amp;NR=2021182748A1$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>SONG, Wonseok</creatorcontrib><creatorcontrib>KIM, Youngbin</creatorcontrib><creatorcontrib>SON, Wonchul</creatorcontrib><creatorcontrib>HWANG, Wonjun</creatorcontrib><creatorcontrib>LEE, Huijung</creatorcontrib><creatorcontrib>MOON, Youngsu</creatorcontrib><creatorcontrib>JO, Younghun</creatorcontrib><creatorcontrib>KOO, Gangmo</creatorcontrib><title>ELECTRONIC DEVICE AND CONTROL METHOD THEREOF</title><description>An electronic device is disclosed. The present electronic device may comprise: a memory in which information on a first artificial intelligence model learned through first learning data and information on a second artificial intelligence model learned through the first learning data are stored; and a processor connected to the memory to control the electronic device, wherein the processor inputs second learning data to each of the first artificial intelligence model and the second artificial intelligence model and relearns the second artificial intelligence model on the basis of an output of each of a plurality of first layers included in the first artificial intelligence model and an output of each of a plurality of second layers included in the second artificial intelligence model, each of the plurality of first layers includes a plurality of two-dimensional filters, and each of the plurality of second layers includes a plurality of filters obtained by reducing the size of each of the plurality of two-dimensional filters of a corresponding first layer. L'invention concerne un dispositif électronique. Le dispositif électronique de l'invention peut comprendre : une mémoire dans laquelle sont stockées des informations sur un premier modèle d'intelligence artificielle apprises au moyen de premières données d'apprentissage et des informations sur un second modèle d'intelligence artificielle apprises au moyen de premières données d'apprentissage ; et un processeur connecté à la mémoire pour commander le dispositif électronique. Le processeur entre des secondes données d'apprentissage dans chacun des premier et second modèles d'intelligence artificielle et réapprend le second modèle d'intelligence artificielle d'après une sortie de chaque couche d'une pluralité de premières couches incluses dans le premier modèle d'intelligence artificielle, et une sortie de chaque couche d'une pluralité de secondes couches incluses dans le second modèle d'intelligence artificielle, chaque couche de la pluralité de premières couches comprenant une pluralité de filtres bidimensionnels, et chaque couche de la pluralité de secondes couches comprenant une pluralité de filtres obtenus en réduisant la taille de chaque filtre de la pluralité de filtres bidimensionnels d'une première couche correspondante. 전자 장치가 개시된다. 본 전자 장치는 제1 학습 데이터를 통해 학습된 제1 인공 지능 모델에 대한 정보 및 제1 학습 데이터를 통해 학습된 제2 인공 지능 모델에 대한 정보가 저장된 메모리 및 메모리와 연결되어 전자 장치를 제어하는 프로세서를 포함하며, 프로세서는 제2 학습 데이터를 제1 인공 지능 모델 및 제2 인공 지능 모델 각각에 입력하고, 제1 인공 지능 모델에 포함된 복수의 제1 레이어 각각의 출력 및 제2 인공 지능 모델에 포함된 복수의 제2 레이어 각각의 출력에 기초하여 제2 인공 지능 모델을 재학습하며, 복수의 제1 레이어 각각은 복수의 2차원 필터를 포함하고, 복수의 제2 레이어 각각은 대응되는 제1 레이어의 복수의 2차원 필터 각각의 크기가 축소된 복수의 필터를 포함할 수 있다.</description><subject>CALCULATING</subject><subject>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>PHYSICS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2021</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZNBx9XF1Dgny9_N0VnBxDfN0dlVw9HNRcPb3Awr6KPi6hnj4uyiEeLgGufq78TCwpiXmFKfyQmluBmU31xBnD93Ugvz41OKCxOTUvNSS-HB_IwMjQ0MLI3MTC0dDY-JUAQAgFCYD</recordid><startdate>20210916</startdate><enddate>20210916</enddate><creator>SONG, Wonseok</creator><creator>KIM, Youngbin</creator><creator>SON, Wonchul</creator><creator>HWANG, Wonjun</creator><creator>LEE, Huijung</creator><creator>MOON, Youngsu</creator><creator>JO, Younghun</creator><creator>KOO, Gangmo</creator><scope>EVB</scope></search><sort><creationdate>20210916</creationdate><title>ELECTRONIC DEVICE AND CONTROL METHOD THEREOF</title><author>SONG, Wonseok ; KIM, Youngbin ; SON, Wonchul ; HWANG, Wonjun ; LEE, Huijung ; MOON, Youngsu ; JO, Younghun ; KOO, Gangmo</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_WO2021182748A13</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng ; fre ; kor</language><creationdate>2021</creationdate><topic>CALCULATING</topic><topic>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>PHYSICS</topic><toplevel>online_resources</toplevel><creatorcontrib>SONG, Wonseok</creatorcontrib><creatorcontrib>KIM, Youngbin</creatorcontrib><creatorcontrib>SON, Wonchul</creatorcontrib><creatorcontrib>HWANG, Wonjun</creatorcontrib><creatorcontrib>LEE, Huijung</creatorcontrib><creatorcontrib>MOON, Youngsu</creatorcontrib><creatorcontrib>JO, Younghun</creatorcontrib><creatorcontrib>KOO, Gangmo</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>SONG, Wonseok</au><au>KIM, Youngbin</au><au>SON, Wonchul</au><au>HWANG, Wonjun</au><au>LEE, Huijung</au><au>MOON, Youngsu</au><au>JO, Younghun</au><au>KOO, Gangmo</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>ELECTRONIC DEVICE AND CONTROL METHOD THEREOF</title><date>2021-09-16</date><risdate>2021</risdate><abstract>An electronic device is disclosed. The present electronic device may comprise: a memory in which information on a first artificial intelligence model learned through first learning data and information on a second artificial intelligence model learned through the first learning data are stored; and a processor connected to the memory to control the electronic device, wherein the processor inputs second learning data to each of the first artificial intelligence model and the second artificial intelligence model and relearns the second artificial intelligence model on the basis of an output of each of a plurality of first layers included in the first artificial intelligence model and an output of each of a plurality of second layers included in the second artificial intelligence model, each of the plurality of first layers includes a plurality of two-dimensional filters, and each of the plurality of second layers includes a plurality of filters obtained by reducing the size of each of the plurality of two-dimensional filters of a corresponding first layer. L'invention concerne un dispositif électronique. Le dispositif électronique de l'invention peut comprendre : une mémoire dans laquelle sont stockées des informations sur un premier modèle d'intelligence artificielle apprises au moyen de premières données d'apprentissage et des informations sur un second modèle d'intelligence artificielle apprises au moyen de premières données d'apprentissage ; et un processeur connecté à la mémoire pour commander le dispositif électronique. Le processeur entre des secondes données d'apprentissage dans chacun des premier et second modèles d'intelligence artificielle et réapprend le second modèle d'intelligence artificielle d'après une sortie de chaque couche d'une pluralité de premières couches incluses dans le premier modèle d'intelligence artificielle, et une sortie de chaque couche d'une pluralité de secondes couches incluses dans le second modèle d'intelligence artificielle, chaque couche de la pluralité de premières couches comprenant une pluralité de filtres bidimensionnels, et chaque couche de la pluralité de secondes couches comprenant une pluralité de filtres obtenus en réduisant la taille de chaque filtre de la pluralité de filtres bidimensionnels d'une première couche correspondante. 전자 장치가 개시된다. 본 전자 장치는 제1 학습 데이터를 통해 학습된 제1 인공 지능 모델에 대한 정보 및 제1 학습 데이터를 통해 학습된 제2 인공 지능 모델에 대한 정보가 저장된 메모리 및 메모리와 연결되어 전자 장치를 제어하는 프로세서를 포함하며, 프로세서는 제2 학습 데이터를 제1 인공 지능 모델 및 제2 인공 지능 모델 각각에 입력하고, 제1 인공 지능 모델에 포함된 복수의 제1 레이어 각각의 출력 및 제2 인공 지능 모델에 포함된 복수의 제2 레이어 각각의 출력에 기초하여 제2 인공 지능 모델을 재학습하며, 복수의 제1 레이어 각각은 복수의 2차원 필터를 포함하고, 복수의 제2 레이어 각각은 대응되는 제1 레이어의 복수의 2차원 필터 각각의 크기가 축소된 복수의 필터를 포함할 수 있다.</abstract><oa>free_for_read</oa></addata></record>
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subjects CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
PHYSICS
title ELECTRONIC DEVICE AND CONTROL METHOD THEREOF
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