{"id":434339,"date":"2023-10-12T16:15:27","date_gmt":"2023-10-12T14:15:27","guid":{"rendered":"https:\/\/www.eenewseurope.com\/?p=434339"},"modified":"2023-10-12T16:15:27","modified_gmt":"2023-10-12T14:15:27","slug":"les-mathematiques-du-xviiie-pour-des-modeles-dia-plus-simples","status":"publish","type":"post","link":"https:\/\/www.ecinews.fr\/fr\/les-mathematiques-du-xviiie-pour-des-modeles-dia-plus-simples\/","title":{"rendered":"Les math\u00e9matiques du XVIIIe pour des mod\u00e8les d&rsquo;IA plus simples"},"content":{"rendered":"<h2>Des chercheurs de l&rsquo;universit\u00e9 de Jyv\u00e4skyl\u00e4 ont r\u00e9ussi \u00e0 simplifier la technique la plus populaire de l&rsquo;intelligence artificielle, l&rsquo;apprentissage profond, en utilisant des math\u00e9matiques du XVIIIe si\u00e8cle<\/h2>\n<p>L&rsquo;apprentissage profond permet aux ordinateurs d&rsquo;effectuer des t\u00e2ches complexes telles que l&rsquo;analyse et la production d&rsquo;images et de musique, les jeux num\u00e9ris\u00e9s et, plus r\u00e9cemment, en relation avec ChatGPT et d&rsquo;autres techniques d&rsquo;IA g\u00e9n\u00e9rative, d&rsquo;agir comme un agent conversationnel en langage naturel qui fournit des r\u00e9sum\u00e9s de haute qualit\u00e9 des connaissances existantes.<\/p>\n<p>Il y a six ans, le professeur Tommi K\u00e4rkk\u00e4inen et le chercheur doctorant Jan H\u00e4nninen ont men\u00e9 des \u00e9tudes pr\u00e9liminaires sur la r\u00e9duction des donn\u00e9es. Les r\u00e9sultats sont surprenants : Si l&rsquo;on combine des structures de r\u00e9seau simples d&rsquo;une mani\u00e8re originale, la profondeur n&rsquo;est pas n\u00e9cessaire. Des r\u00e9sultats similaires, voire meilleurs, peuvent \u00eatre obtenus avec des mod\u00e8les peu profonds.<\/p>\n<p><img decoding=\"async\" class=\"alignnone wp-image-434192 lazyload\" data-src=\"https:\/\/www.eenewseurope.com\/wp-content\/uploads\/2023\/10\/Screen-Shot-2023-10-10-at-15.42.27-300x160.png\" alt=\"\" width=\"474\" height=\"253\" data-srcset=\"https:\/\/www.ecinews.fr\/wp-content\/uploads\/2023\/10\/Screen-Shot-2023-10-10-at-15.42.27-300x160.png 300w, https:\/\/www.ecinews.fr\/wp-content\/uploads\/2023\/10\/Screen-Shot-2023-10-10-at-15.42.27.png 571w\" data-sizes=\"(max-width: 474px) 100vw, 474px\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 474px; --smush-placeholder-aspect-ratio: 474\/253;\" \/><\/p>\n<p><span style=\"font-size: 12px;\"><em>Pr\u00e9-entra\u00eenement par couches, des t\u00eates aux couches internes. La couche la plus externe est entra\u00een\u00e9e en premier et son r\u00e9sidu est ensuite utilis\u00e9 comme donn\u00e9es d&rsquo;entra\u00eenement pour la couche cach\u00e9e suivante, jusqu&rsquo;\u00e0 ce que toutes les couches aient \u00e9t\u00e9 entra\u00een\u00e9es de mani\u00e8re s\u00e9quentielle. Cr\u00e9dit : Neurocomputing (2023). DOI: 10.1016\/j.neucom.2023.126520<\/em><\/span><\/p>\n<p>\u00ab\u00a0L&rsquo;utilisation de techniques d&rsquo;apprentissage profond est une entreprise complexe et sujette aux erreurs, et les mod\u00e8les qui en r\u00e9sultent sont difficiles \u00e0 maintenir et \u00e0 interpr\u00e9ter\u00a0\u00bb, explique K\u00e4rkk\u00e4inen. \u00ab\u00a0Notre nouveau mod\u00e8le, dans sa forme superficielle, est plus expressif et peut r\u00e9duire de mani\u00e8re fiable de grands ensembles de donn\u00e9es tout en conservant toutes les informations n\u00e9cessaires qu&rsquo;ils contiennent\u00a0\u00bb.<\/p>\n<p>La structure de la nouvelle technique d&rsquo;IA remonte aux math\u00e9matiques du XVIIIe si\u00e8cle. K\u00e4rkk\u00e4inen et H\u00e4nninen ont \u00e9galement constat\u00e9 que les m\u00e9thodes d&rsquo;optimisation traditionnelles des ann\u00e9es 1970 fonctionnent mieux pour pr\u00e9parer leur mod\u00e8le que les techniques du 21e si\u00e8cle utilis\u00e9es dans l&rsquo;apprentissage profond.<\/p>\n<p><a href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0925231223006434?via%3Dihub\">En savoir plus<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Des chercheurs de l&rsquo;universit\u00e9 de Jyv\u00e4skyl\u00e4 ont r\u00e9ussi \u00e0 simplifier la technique la plus populaire de l&rsquo;intelligence artificielle, l&rsquo;apprentissage profond, en utilisant des math\u00e9matiques du XVIIIe si\u00e8cle L&rsquo;apprentissage profond permet aux ordinateurs d&rsquo;effectuer des t\u00e2ches complexes telles que l&rsquo;analyse et la production d&rsquo;images et de musique, les jeux num\u00e9ris\u00e9s et, plus r\u00e9cemment, en relation avec [&hellip;]<\/p>\n","protected":false},"author":7,"featured_media":434195,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[883],"tags":[2198,4039,4877],"domains":[47],"ppma_author":[1153,1139],"class_list":["post-434339","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-technologies","tag-ia","tag-ia-generative","tag-mathematiques","domains-electronique-eci"],"acf":[],"yoast_head":"<title>Les math\u00e9matiques du XVIIIe pour des mod\u00e8les d&#039;IA plus simples ...<\/title>\n<meta name=\"description\" content=\"Des chercheurs ont r\u00e9ussi \u00e0 simplifier la technique la populaire de l&#039;IA, l&#039;apprentissage profond, en utilisant des maths du XVIIIe si\u00e8cle\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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