{"id":858,"date":"2025-01-31T03:29:00","date_gmt":"2025-01-01T09:00:00","guid":{"rendered":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/r\/definition_retropropagation\/"},"modified":"2025-06-05T23:34:41","modified_gmt":"2025-06-05T21:34:41","slug":"definition-retropropagation","status":"publish","type":"post","link":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/r\/definition-retropropagation\/","title":{"rendered":"R\u00e9tropropagation"},"content":{"rendered":"<p>La r\u00e9tropropagation est un \u00e9l\u00e9ment fondamental de l&rsquo;apprentissage automatique, essentiel pour entra\u00eener les mod\u00e8les d&rsquo;IA, notamment ceux utilis\u00e9s dans le prompt engineering. Qu&rsquo;est-ce que la r\u00e9tropropagation ? C&rsquo;est un algorithme qui permet d&rsquo;ajuster les param\u00e8tres internes d&rsquo;un r\u00e9seau de neurones afin d&rsquo;am\u00e9liorer ses performances.<\/p>\n<h3>Comment fonctionne la r\u00e9tropropagation ?<\/h3>\n<p>Imaginez un archer qui s&rsquo;entra\u00eene \u00e0 atteindre une cible.  Chaque fl\u00e8che repr\u00e9sente une pr\u00e9diction du mod\u00e8le.  La r\u00e9tropropagation est comme l&rsquo;analyse que fait l&rsquo;archer apr\u00e8s chaque tir pour ajuster sa vis\u00e9e : il observe l&rsquo;\u00e9cart entre le point d&rsquo;impact et la cible (l&rsquo;erreur), puis modifie son angle et la force de son tir en cons\u00e9quence.  De m\u00eame, la r\u00e9tropropagation calcule l&rsquo;erreur du r\u00e9seau de neurones et ajuste ses \u00ab\u00a0poids\u00a0\u00bb (param\u00e8tres internes) pour r\u00e9duire cette erreur lors des pr\u00e9dictions futures. Ce processus se fait en remontant du r\u00e9sultat final vers les couches d&rsquo;entr\u00e9e du r\u00e9seau, d&rsquo;o\u00f9 son nom de \u00ab\u00a0r\u00e9tropropagation\u00a0\u00bb de l&rsquo;erreur.<\/p>\n<h3>Pourquoi la r\u00e9tropropagation est-elle importante ?<\/h3>\n<p>La r\u00e9tropropagation est le moteur de l&rsquo;apprentissage pour de nombreux mod\u00e8les d&rsquo;IA.  Sans elle, ces mod\u00e8les ne pourraient pas apprendre des donn\u00e9es et am\u00e9liorer leurs pr\u00e9dictions. En prompt engineering, la r\u00e9tropropagation permet d&rsquo;affiner les mod\u00e8les qui g\u00e9n\u00e8rent du texte, traduisent des langues ou r\u00e9pondent \u00e0 des questions, en ajustant leurs param\u00e8tres pour produire des r\u00e9sultats plus pr\u00e9cis et pertinents.  Par exemple, un mod\u00e8le de g\u00e9n\u00e9ration de texte peut utiliser la r\u00e9tropropagation pour apprendre \u00e0 mieux pr\u00e9dire le mot suivant dans une phrase, en se basant sur les exemples pr\u00e9c\u00e9dents qu&rsquo;il a trait\u00e9s.<\/p>\n<h3>Termes associ\u00e9s<\/h3>\n<ul id=\"TermesAssocies\">\n<li><a href=\"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/?s=R%C3%A9seau+de+neurones\">R\u00e9seau de neurones<\/a><\/li>\n<li><a href=\"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/?s=Apprentissage+automatique\">Apprentissage automatique<\/a><\/li>\n<li><a href=\"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/?s=Gradient+descendant\">Gradient descendant<\/a><\/li>\n<li><a href=\"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/?s=Fonction+d%27activation\">Fonction d&rsquo;activation<\/a><\/li>\n<li><a href=\"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/?s=Optimisation\">Optimisation<\/a><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>La r\u00e9tropropagation est un \u00e9l\u00e9ment fondamental de l&rsquo;apprentissage automatique, essentiel pour entra\u00eener les mod\u00e8les d&rsquo;IA, notamment ceux utilis\u00e9s dans le prompt engineering. Qu&rsquo;est-ce que la r\u00e9tropropagation ? C&rsquo;est un algorithme qui permet d&rsquo;ajuster les param\u00e8tres internes d&rsquo;un r\u00e9seau de neurones afin d&rsquo;am\u00e9liorer ses performances. Comment fonctionne la r\u00e9tropropagation ? Imaginez un archer qui s&rsquo;entra\u00eene \u00e0 [&hellip;]<\/p>\n","protected":false},"author":0,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_uag_custom_page_level_css":"","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-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":"","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-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":"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":""},"mobile":{"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":""}},"footnotes":""},"categories":[59],"tags":[44,130,476,61,99,140],"class_list":["post-858","post","type-post","status-publish","format-standard","hentry","category-r","tag-apprentissage-automatique","tag-fonction-dactivation","tag-gradient-descendant","tag-optimisation","tag-reseau-de-neurones","tag-retropropagation"],"uagb_featured_image_src":{"full":false,"thumbnail":false,"medium":false,"medium_large":false,"large":false,"1536x1536":false,"2048x2048":false},"uagb_author_info":{"display_name":"","author_link":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/author\/"},"uagb_comment_info":0,"uagb_excerpt":"La r\u00e9tropropagation est un \u00e9l\u00e9ment fondamental de l&rsquo;apprentissage automatique, essentiel pour entra\u00eener les mod\u00e8les d&rsquo;IA, notamment ceux utilis\u00e9s dans le prompt engineering. Qu&rsquo;est-ce que la r\u00e9tropropagation ? C&rsquo;est un algorithme qui permet d&rsquo;ajuster les param\u00e8tres internes d&rsquo;un r\u00e9seau de neurones afin d&rsquo;am\u00e9liorer ses performances. Comment fonctionne la r\u00e9tropropagation ? Imaginez un archer qui s&rsquo;entra\u00eene \u00e0\u2026","_links":{"self":[{"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/posts\/858","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/types\/post"}],"replies":[{"embeddable":true,"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/comments?post=858"}],"version-history":[{"count":1,"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/posts\/858\/revisions"}],"predecessor-version":[{"id":1025,"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/posts\/858\/revisions\/1025"}],"wp:attachment":[{"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/media?parent=858"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/categories?post=858"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/tags?post=858"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}