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{"id":10694,"date":"2023-11-25T20:00:38","date_gmt":"2023-11-25T19:00:38","guid":{"rendered":"https:\/\/total-depannage.com\/transfer-learning-leveraging-pre-trained-models-for-faster-development-french\/"},"modified":"2023-11-25T20:00:38","modified_gmt":"2023-11-25T19:00:38","slug":"transfer-learning-leveraging-pre-trained-models-for-faster-development-french","status":"publish","type":"post","link":"https:\/\/total-depannage.com\/transfer-learning-leveraging-pre-trained-models-for-faster-development-french\/","title":{"rendered":"Transfer Learning: Leveraging Pre-trained Models for Faster Development"},"content":{"rendered":"

Le transfert d’apprentissage : exploitation des mod\u00e8les pr\u00e9-entra\u00een\u00e9s pour un d\u00e9veloppement plus rapide<\/p>\n

Le transfert d’apprentissage est une technique de pointe en intelligence artificielle qui permet aux d\u00e9veloppeurs de gagner du temps et d’am\u00e9liorer les performances de leurs mod\u00e8les en utilisant des mod\u00e8les pr\u00e9-entra\u00een\u00e9s. Dans cet article, nous allons explorer en profondeur le transfert d’apprentissage et examiner comment il peut \u00eatre utilis\u00e9 pour acc\u00e9l\u00e9rer le d\u00e9veloppement de projets d’IA sur les plateformes Windows, Linux et Apple.<\/p>\n

Qu’est-ce que le transfert d’apprentissage?<\/p>\n

Le transfert d’apprentissage consiste \u00e0 utiliser un mod\u00e8le pr\u00e9-entra\u00een\u00e9 comme point de d\u00e9part pour un nouveau mod\u00e8le, au lieu de commencer \u00e0 former un nouveau mod\u00e8le \u00e0 partir de z\u00e9ro. Cela permet d’\u00e9conomiser du temps et des ressources, car le mod\u00e8le pr\u00e9-entra\u00een\u00e9 a d\u00e9j\u00e0 appris \u00e0 reconna\u00eetre des mod\u00e8les dans les donn\u00e9es et peut \u00eatre appliqu\u00e9 \u00e0 un nouveau domaine ou \u00e0 une t\u00e2che connexe. En utilisant le transfert d’apprentissage, les d\u00e9veloppeurs peuvent construire des mod\u00e8les plus robustes et pr\u00e9cis en un temps beaucoup plus court.<\/p>\n

Comment utiliser le transfert d’apprentissage<\/p>\n

Il existe plusieurs fa\u00e7ons d’utiliser le transfert d’apprentissage, en fonction du projet et des donn\u00e9es disponibles. Certains des frameworks populaires pour le transfert d’apprentissage incluent TensorFlow, PyTorch, et Keras, qui offrent une vari\u00e9t\u00e9 de mod\u00e8les pr\u00e9-entra\u00een\u00e9s et des outils pour les adapter \u00e0 des t\u00e2ches sp\u00e9cifiques. Les d\u00e9veloppeurs peuvent \u00e9galement choisir de r\u00e9-entra\u00eener uniquement certaines couches du mod\u00e8le pr\u00e9-entra\u00een\u00e9 pour s’adapter \u00e0 de nouvelles donn\u00e9es, ou d’utiliser le mod\u00e8le pr\u00e9-entra\u00een\u00e9 comme extracteur de caract\u00e9ristiques pour alimenter un nouveau mod\u00e8le. Quelle que soit la m\u00e9thode choisie, le transfert d’apprentissage offre une solution flexible et efficace pour le d\u00e9veloppement de projets d’IA.<\/p>\n

Tutoriels et astuces informatiques<\/p>\n

Voici quelques tutoriels et astuces pour utiliser le transfert d’apprentissage sur les plateformes Windows, Linux et Apple :<\/p>\n

Windows<\/p>\n

Sur Windows, les d\u00e9veloppeurs peuvent utiliser des outils comme TensorFlow ou PyTorch via des environnements de d\u00e9veloppement tels que Anaconda ou Visual Studio Code. Il existe \u00e9galement des tutoriels en ligne pour apprendre \u00e0 utiliser le transfert d’apprentissage sur Windows, notamment sur des sites comme Microsoft Developer Network et Stack Overflow.<\/p>\n

Linux<\/p>\n

Linux est une plateforme populaire pour le d\u00e9veloppement d’IA, avec de nombreuses biblioth\u00e8ques et frameworks disponibles via des gestionnaires de paquets comme apt et pip. Des tutoriels de transfert d’apprentissage pour Linux sont disponibles sur des sites tels que GitHub et Towards Data Science, offrant aux d\u00e9veloppeurs des instructions d\u00e9taill\u00e9es pour utiliser des mod\u00e8les pr\u00e9-entra\u00een\u00e9s sur des projets Linux.<\/p>\n

Apple<\/p>\n

Apple offre \u00e9galement des outils et des ressources pour le d\u00e9veloppement d’IA, y compris des cadres comme Core ML. Des tutoriels pour l’utilisation du transfert d’apprentissage sur les plateformes Apple peuvent \u00eatre trouv\u00e9s sur des sites comme RayWenderlich et Apple Developer, fournissant des instructions sp\u00e9cifiques pour les d\u00e9veloppeurs souhaitant exploiter des mod\u00e8les pr\u00e9-entra\u00een\u00e9s sur des projets Apple.<\/p>\n

FAQ<\/p>\n

Quels sont les avantages du transfert d’apprentissage?<\/p>\n

Le transfert d’apprentissage permet d’acc\u00e9l\u00e9rer le d\u00e9veloppement de mod\u00e8les d’IA en utilisant des mod\u00e8les pr\u00e9-entra\u00een\u00e9s comme point de d\u00e9part, ce qui \u00e9conomise du temps et des ressources. Il am\u00e9liore \u00e9galement les performances des mod\u00e8les en tirant parti des connaissances acquises par le mod\u00e8le pr\u00e9-entra\u00een\u00e9.<\/p>\n

Quels sont les inconv\u00e9nients du transfert d’apprentissage?<\/p>\n

Les inconv\u00e9nients du transfert d’apprentissage incluent le risque de surajustement si le mod\u00e8le pr\u00e9-entra\u00een\u00e9 n’est pas adapt\u00e9 \u00e0 la t\u00e2che ou aux donn\u00e9es sp\u00e9cifiques, ainsi que la d\u00e9pendance \u00e0 un mod\u00e8le pr\u00e9-entra\u00een\u00e9 de haute qualit\u00e9.<\/p>\n

O\u00f9 puis-je trouver des mod\u00e8les pr\u00e9-entra\u00een\u00e9s pour utiliser le transfert d’apprentissage?<\/p>\n

De nombreux mod\u00e8les pr\u00e9-entra\u00een\u00e9s sont disponibles en ligne via des biblioth\u00e8ques populaires telles que TensorFlow Hub, Hugging Face, et PyTorch Hub. Ces biblioth\u00e8ques offrent une vari\u00e9t\u00e9 de mod\u00e8les pour diff\u00e9rentes t\u00e2ches, avec la possibilit\u00e9 de les adapter \u00e0 des besoins sp\u00e9cifiques gr\u00e2ce au transfert d’apprentissage.<\/p>\n

External Links:<\/p>\n

France Culture – Le transfert d’apprentissage peut-il accro\u00eetre l’efficacit\u00e9 de l’IA<\/p>\n

Universit\u00e9 de Sherbrooke – La technique du transfert d’apprentissage en intelligence artificielle<\/p>\n

Labo-IA – Analyser plus de 20 000 buzz sur internet<\/p>\n","protected":false},"excerpt":{"rendered":"

Le transfert d’apprentissage : exploitation des mod\u00e8les pr\u00e9-entra\u00een\u00e9s pour un d\u00e9veloppement plus rapide Le transfert d’apprentissage est une technique de […]<\/p>\n","protected":false},"author":1,"featured_media":10695,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"categories":[1,4],"tags":[273,155,260,272,266,271,264,270,265,276,166,169,278,159,151,171,279,168,167,274,158,150,259,163,160,165,157,154,161,152,162,275,261,277,267,269,164,268,262,156,263,153],"class_list":["post-10694","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-les_infos_geek","category-tutorial_geek","tag-algorithmes-dia","tag-applications","tag-apprentissage-automatique","tag-apprentissage-automatique-supervise","tag-apprentissage-non-supervise","tag-apprentissage-par-transfert","tag-apprentissage-profond","tag-apprentissage-renforce","tag-apprentissage-supervise","tag-auto-encodeurs","tag-c","tag-conception-de-sites-web","tag-conception-dapplications-mobiles","tag-css","tag-developpement","tag-developpement-de-logiciels","tag-developpement-dapplications","tag-developpement-mobile","tag-developpement-web","tag-donnees-dentrainement","tag-html","tag-informatique","tag-intelligence-artificielle","tag-java","tag-javascript","tag-kotlin","tag-langages-de-programmation","tag-mobile","tag-php","tag-programmation","tag-python","tag-reconnaissance-dobjets","tag-reseau-de-neurones","tag-reseaux-de-neurones-recurrents","tag-reseaux-neuronaux-convolutifs","tag-robotique-intelligente","tag-swift","tag-traitement-automatique-du-signal","tag-traitement-du-langage-naturel","tag-tutoriels","tag-vision-par-ordinateur","tag-web"],"yoast_head":"\nTransfer Learning: Leveraging Pre-trained Models for Faster Development - 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