{"id":136038,"date":"2022-01-26T11:26:02","date_gmt":"2022-01-26T10:26:02","guid":{"rendered":"https:\/\/datascientest.com\/?p=136038"},"modified":"2023-11-09T14:05:40","modified_gmt":"2023-11-09T14:05:40","slug":"conditional-generative-adversarial-network-cgan","status":"publish","type":"post","link":"https:\/\/datascientest.com\/conditional-generative-adversarial-network-cgan","title":{"rendered":"Qu\u2019est ce qu\u2019un Conditional Generative Adversarial Network (cGAN)?"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"136038\" class=\"elementor elementor-136038\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-f945fdc e-flex e-con-boxed e-con\" data-id=\"f945fdc\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-9c5954c elementor-widget elementor-widget-text-editor\" data-id=\"9c5954c\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-widget-text-editor.elementor-drop-cap-view-stacked .elementor-drop-cap{background-color:#69727d;color:#fff}.elementor-widget-text-editor.elementor-drop-cap-view-framed .elementor-drop-cap{color:#69727d;border:3px solid;background-color:transparent}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap{margin-top:8px}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap-letter{width:1em;height:1em}.elementor-widget-text-editor .elementor-drop-cap{float:left;text-align:center;line-height:1;font-size:50px}.elementor-widget-text-editor .elementor-drop-cap-letter{display:inline-block}<\/style>\t\t\t\t<h2>Le Conditional GAN ou cGAN est un mod\u00e8le utilis\u00e9 dans le deep learning, un d\u00e9riv\u00e9 du machine learning. Il permet la g\u00e9n\u00e9ration et la discrimination plus pr\u00e9cise d\u2019images afin d\u2019entra\u00eener les machines et leur permettre d\u2019apprendre par elles-m\u00eames. L\u2019id\u00e9e du cGAN a \u00e9t\u00e9 publi\u00e9e pour la premi\u00e8re fois en 2014 par Mehdi Mirza et Simon Osindero.<\/h2>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-8ca2649 elementor-widget elementor-widget-text-editor\" data-id=\"8ca2649\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Pour bien comprendre ce qu\u2019est qu\u2019un cGan, il faut d\u2019abord se familiariser avec le <a href=\"https:\/\/datascientest.com\/deep-learning\">Deep Learning<\/a>. Ce proc\u00e9d\u00e9 consiste \u00e0 nourrir un programme informatique de milliers de donn\u00e9es pour que ce dernier puisse apprendre \u00e0 les reconna\u00eetre. Le <strong>Generative Adversarial Network (GAN)<\/strong>, ou r\u00e9seau antagoniste g\u00e9n\u00e9ratif en fran\u00e7ais, constitue une premi\u00e8re approche d&rsquo;entra\u00eenement. Il permet un dialogue entre deux r\u00e9seaux, le g\u00e9n\u00e9rateur et le discriminateur.<\/p><p>D\u2019un c\u00f4t\u00e9 le g\u00e9n\u00e9rateur g\u00e9n\u00e8re de <strong>fausses images<\/strong> qui sont cens\u00e9es \u00eatre les plus r\u00e9alistes possibles, dans le but de tromper le r\u00e9seau adverse: le discriminateur. De l\u2019autre le discriminateur va <strong>observer des images venant \u00e0 la fois du g\u00e9n\u00e9rateur et d\u2019une banque de donn\u00e9es<\/strong>. Il va devoir d\u00e9terminer quelles images viennent de la banque de donn\u00e9es (et les labelliser comme vraies) et quelles images sont produites par le g\u00e9n\u00e9rateur (et sont donc fausses).<\/p><p>Le discriminateur classe correctement les faux comme des faux et les vrais comme des vrais, il est r\u00e9compens\u00e9 avec un feedback positif, s&rsquo;il \u00e9choue dans son travail, il re\u00e7oit un feedback n\u00e9gatif. Petit \u00e0 petit, gr\u00e2ce \u00e0 <strong>l\u2019algorithme de la Descente de Gradient<\/strong>, il va pouvoir d\u00e9terminer l\u2019\u00e9tendue de donn\u00e9es qui lui permettent de reconna\u00eetre une image vraie, apprendre de ses erreurs et s\u2019am\u00e9liorer. Il va donc petit \u00e0 petit s\u2019am\u00e9liorer et cr\u00e9er des objets de plus en plus pertinents.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-f08faa1 e-flex e-con-boxed e-con\" data-id=\"f08faa1\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-d194574 elementor-widget elementor-widget-heading\" data-id=\"d194574\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-heading-title{padding:0;margin:0;line-height:1}.elementor-widget-heading .elementor-heading-title[class*=elementor-size-]>a{color:inherit;font-size:inherit;line-height:inherit}.elementor-widget-heading .elementor-heading-title.elementor-size-small{font-size:15px}.elementor-widget-heading .elementor-heading-title.elementor-size-medium{font-size:19px}.elementor-widget-heading .elementor-heading-title.elementor-size-large{font-size:29px}.elementor-widget-heading .elementor-heading-title.elementor-size-xl{font-size:39px}.elementor-widget-heading .elementor-heading-title.elementor-size-xxl{font-size:59px}<\/style><h3 class=\"elementor-heading-title elementor-size-default\">Le cGAN ou comment maximiser les performances du g\u00e9n\u00e9rateur et du discriminateur<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-498f55a elementor-widget elementor-widget-text-editor\" data-id=\"498f55a\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Avec un <strong>conditional gan<\/strong>, il est possible d\u2019<strong>envoyer des informations plus pr\u00e9cises<\/strong>, appel\u00e9es labels de classe, au g\u00e9n\u00e9rateur et au discriminateur pour cadrer leur production de donn\u00e9es. Ces informations vont permettre de <strong>pr\u00e9ciser les donn\u00e9es produites par le g\u00e9n\u00e9rateur et le discriminateur<\/strong> afin qu\u2019ils arrivent plus rapidement au r\u00e9sultat voulu. Les labels vont orienter la production du g\u00e9n\u00e9rateur pour lui permettre de g\u00e9n\u00e9rer des informations plus pr\u00e9cises. Au lieu de produire des images de v\u00eatements, par exemple, il produira des images de pantalons, de vestes, ou de chaussettes selon le label qu\u2019on lui fourni. Du c\u00f4t\u00e9 du discriminateur, <strong>les labels<\/strong> vont permettre au r\u00e9seau de mieux <strong>distinguer les images r\u00e9elles des fausses images<\/strong> que va lui fournir le g\u00e9n\u00e9rateur. Il gagnera donc en efficacit\u00e9.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-25c6867 elementor-widget elementor-widget-image\" data-id=\"25c6867\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-widget-image{text-align:center}.elementor-widget-image a{display:inline-block}.elementor-widget-image a img[src$=\".svg\"]{width:48px}.elementor-widget-image img{vertical-align:middle;display:inline-block}<\/style>\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"800\" height=\"483\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2021\/12\/conditional-gan-1024x618.jpg\" class=\"attachment-large size-large wp-image-136055\" alt=\"conditional-gan\" srcset=\"https:\/\/datascientest.com\/wp-content\/uploads\/2021\/12\/conditional-gan-1024x618.jpg 1024w, https:\/\/datascientest.com\/wp-content\/uploads\/2021\/12\/conditional-gan-300x181.jpg 300w, https:\/\/datascientest.com\/wp-content\/uploads\/2021\/12\/conditional-gan-768x463.jpg 768w, https:\/\/datascientest.com\/wp-content\/uploads\/2021\/12\/conditional-gan.jpg 1520w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-4ac047f e-flex e-con-boxed e-con\" data-id=\"4ac047f\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-61ca7c4 elementor-widget elementor-widget-heading\" data-id=\"61ca7c4\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Le cGAN et ses multiples utilisations dans le domaine du machine learning<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-aefb1e5 elementor-widget elementor-widget-text-editor\" data-id=\"aefb1e5\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Si vous avez du mal \u00e0 vous repr\u00e9senter l\u2019utilisation du <strong>conditional GAN<\/strong>, voici quelques exemples qui pourraient vous aider. Le <strong>conditional Generative Adversarial Network<\/strong> peut-\u00eatre tr\u00e8s utile dans les cas suivants :<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7fa5895 elementor-widget elementor-widget-heading\" data-id=\"7fa5895\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\">1. La traduction d\u2019image \u00e0 image<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-59e956f elementor-widget elementor-widget-text-editor\" data-id=\"59e956f\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Les cGAN permettent notamment de faire \u00e9voluer des images en prenant en compte d\u2019infos additionnelles, les labels. Le cGan a permis le d\u00e9veloppement de <strong>la m\u00e9thode Pix2Pix<\/strong> dont certaines applications permettent la reconstruction d&rsquo;objets \u00e0 partir des bords, la synth\u00e8se de photos \u00e0 partir de cartes d&rsquo;\u00e9tiquettes et la colorisation d&rsquo;images.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a58bae9 elementor-widget elementor-widget-heading\" data-id=\"a58bae9\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\">2. Cr\u00e9ation d\u2019images \u00e0 partir de texte<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ea16dff elementor-widget elementor-widget-text-editor\" data-id=\"ea16dff\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Gr\u00e2ce au cGAN, il est possible de <strong>cr\u00e9er des photos de haute qualit\u00e9<\/strong> sur la base d\u2019un texte. L\u2019utilisation d\u2019un texte, et la richesse de son vocabulaire, permet de cr\u00e9er des images de synth\u00e8se beaucoup plus pr\u00e9cises.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c7b67c7 elementor-widget elementor-widget-heading\" data-id=\"c7b67c7\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\">3. La g\u00e9n\u00e9ration de vid\u00e9o<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-2932c93 elementor-widget elementor-widget-text-editor\" data-id=\"2932c93\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>En vid\u00e9o, le cGan peut \u00e9galement <strong>pr\u00e9dire les futures images d\u2019une vid\u00e9o<\/strong> sur base d\u2019une s\u00e9lection d\u2019images pr\u00e9c\u00e9dentes.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-697d82a elementor-widget elementor-widget-heading\" data-id=\"697d82a\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\">4. G\u00e9n\u00e9ration de visages<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-471501a elementor-widget elementor-widget-text-editor\" data-id=\"471501a\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Le cGANs peut-\u00eatre utilis\u00e9 pour g\u00e9n\u00e9rer des images de visages <strong>avec des attributs particuliers<\/strong>, par exemple la couleur des cheveux ou des yeux.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-9ade984 e-flex e-con-boxed e-con\" data-id=\"9ade984\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-a55c464 elementor-widget elementor-widget-text-editor\" data-id=\"a55c464\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Le cGAN repr\u00e9sente donc une avanc\u00e9e toute particuli\u00e8re si l\u2019on le compare avec le <a href=\"https:\/\/datascientest.com\/gan-machine-learning\">GAN<\/a>. <strong>Il permet aux syst\u00e8mes de deep learning de gagner en pr\u00e9cision et en efficacit\u00e9<\/strong>. Une petite r\u00e9volution dans le domaine du machine learning qui a propuls\u00e9 la carri\u00e8re de ses deux inventeurs Mehdi Mirza et Simon Osindero. Ils travaillent maintenant chez DeepMind, une entreprise leader du secteur.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-49907fb elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"49907fb\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm elementor-animation-grow\" href=\"https:\/\/datascientest.com\/formation-deep-learning\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">En savoir plus sur la formation en Deep Learning<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Le Conditional GAN ou cGAN est un mod\u00e8le utilis\u00e9 dans le deep learning, un d\u00e9riv\u00e9 du machine learning. Il permet la g\u00e9n\u00e9ration et la discrimination plus pr\u00e9cise d\u2019images afin d\u2019entra\u00eener les machines et leur permettre d\u2019apprendre par elles-m\u00eames. L\u2019id\u00e9e du cGAN a \u00e9t\u00e9 publi\u00e9e pour la premi\u00e8re fois en 2014 par Mehdi Mirza et Simon [&hellip;]<\/p>\n","protected":false},"author":78,"featured_media":171240,"comment_status":"open","ping_status":"open","sticky":false,"template":"elementor_theme","format":"standard","meta":{"content-type":"","inline_featured_image":false},"categories":[2497],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v21.7 (Yoast SEO v21.7) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Qu\u2019est ce qu\u2019un Conditional Generative Adversarial Network (cGAN)?<\/title>\n<meta name=\"description\" content=\"Le Conditional GAN ou cGAN est un mod\u00e8le utilis\u00e9 dans le deep learning, un d\u00e9riv\u00e9 du machine learning. 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