{"id":55323,"date":"2021-04-07T08:29:53","date_gmt":"2021-04-07T07:29:53","guid":{"rendered":"https:\/\/datascientest.com\/?p=55323"},"modified":"2023-11-09T14:09:33","modified_gmt":"2023-11-09T14:09:33","slug":"perceptron","status":"publish","type":"post","link":"https:\/\/datascientest.com\/perceptron","title":{"rendered":"Perceptron : qu&rsquo;est-ce que c&rsquo;est et \u00e0 quoi \u00e7a sert ?"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"55323\" class=\"elementor elementor-55323\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-3e292b0 e-flex e-con-boxed e-con\" data-id=\"3e292b0\" 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-e213a4b elementor-widget elementor-widget-heading\" data-id=\"e213a4b\" 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><h2 class=\"elementor-heading-title elementor-size-default\">Un Perceptron est un neurone artificiel, indispensable pour les r\u00e9seaux de neurones du Deep Learning. D\u00e9couvrez son principe, son utilisation, et son importance en Data Science.<\/h2>\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-6e1ce41 e-flex e-con-boxed e-con\" data-id=\"6e1ce41\" 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-69003d2 elementor-widget elementor-widget-text-editor\" data-id=\"69003d2\" 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<p>Pour comprendre ce qu&rsquo;est un Perceptron, il faut d&rsquo;abord comprendre <strong><a href=\"https:\/\/datascientest.com\/fonctionnement-des-reseaux-neurones\">le concept de r\u00e9seau de neurones artificiels<\/a><\/strong>. Comme vous le savez sans doute, le cerveau humain est constitu\u00e9 de milliards de neurones.<\/p><p>Ces <strong>neurones sont des cellules nerveuses interconnect\u00e9es<\/strong>, et permettent le traitement et la transmission de signaux chimiques et \u00e9lectriques. Les dendrites sont des branches recevant les informations \u00e0 partir des autres neurones. Les noyaux cellulaires traitent les informations re\u00e7ues \u00e0 partir des dendrites. Enfin, les synapses servent de connexion entre les neurones.<\/p><p>Les neurones artificiels cherchent \u00e0 <strong>imiter le fonctionnement des neurones du cerveau<\/strong>. Il s&rsquo;agit d&rsquo;une fonction math\u00e9matique bas\u00e9e sur un mod\u00e8le de neurones biologiques. Chaque neurone re\u00e7oit des donn\u00e9es, les p\u00e8se, calcule leur somme et produit un r\u00e9sultat par le biais d&rsquo;une fonction non-lin\u00e9aire.<\/p><p>Un r\u00e9seau de neurones artificiels est <strong>constitu\u00e9 de multiples neurones artificiels<\/strong>. Les r\u00e9sultats des calculs sont transmis d&rsquo;un neurone \u00e0 l&rsquo;autre, et chacun conserve un \u00e9tat interne appel\u00e9 signal d&rsquo;activation. Les neurones sont li\u00e9s entre eux par des liens de connexions, par lesquels circulent les informations sur les donn\u00e9es entr\u00e9es.<\/p><p>Dans chaque r\u00e9seau de neurones, on distingue la couche d&rsquo;entr\u00e9e, la couche de sortie, et diff\u00e9rentes couches cach\u00e9es. Les<strong> donn\u00e9es sont transmises d&rsquo;une couche \u00e0 l&rsquo;autre<\/strong>.<\/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-c1b31df elementor-widget__width-initial elementor-widget elementor-widget-video\" data-id=\"c1b31df\" data-element_type=\"widget\" data-settings=\"{&quot;youtube_url&quot;:&quot;https:\\\/\\\/www.youtube.com\\\/watch?v=gPVVsw2OWdM&amp;t=92s&quot;,&quot;video_type&quot;:&quot;youtube&quot;,&quot;controls&quot;:&quot;yes&quot;}\" data-widget_type=\"video.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-video .elementor-widget-container{overflow:hidden;transform:translateZ(0)}.elementor-widget-video .elementor-wrapper{aspect-ratio:var(--video-aspect-ratio)}.elementor-widget-video .elementor-wrapper iframe,.elementor-widget-video .elementor-wrapper video{height:100%;width:100%;display:flex;border:none;background-color:#000}@supports not (aspect-ratio:1\/1){.elementor-widget-video .elementor-wrapper{position:relative;overflow:hidden;height:0;padding-bottom:calc(100% \/ var(--video-aspect-ratio))}.elementor-widget-video .elementor-wrapper iframe,.elementor-widget-video .elementor-wrapper video{position:absolute;top:0;right:0;bottom:0;left:0}}.elementor-widget-video .elementor-open-inline .elementor-custom-embed-image-overlay{position:absolute;top:0;right:0;bottom:0;left:0;background-size:cover;background-position:50%}.elementor-widget-video .elementor-custom-embed-image-overlay{cursor:pointer;text-align:center}.elementor-widget-video .elementor-custom-embed-image-overlay:hover .elementor-custom-embed-play i{opacity:1}.elementor-widget-video .elementor-custom-embed-image-overlay img{display:block;width:100%;aspect-ratio:var(--video-aspect-ratio);-o-object-fit:cover;object-fit:cover;-o-object-position:center center;object-position:center center}@supports not (aspect-ratio:1\/1){.elementor-widget-video .elementor-custom-embed-image-overlay{position:relative;overflow:hidden;height:0;padding-bottom:calc(100% \/ var(--video-aspect-ratio))}.elementor-widget-video .elementor-custom-embed-image-overlay img{position:absolute;top:0;right:0;bottom:0;left:0}}.elementor-widget-video .e-hosted-video .elementor-video{-o-object-fit:cover;object-fit:cover}.e-con-inner>.elementor-widget-video,.e-con>.elementor-widget-video{width:var(--container-widget-width);--flex-grow:var(--container-widget-flex-grow)}<\/style>\t\t<div class=\"elementor-wrapper elementor-open-inline\">\n\t\t\t<div class=\"elementor-video\"><\/div>\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<div class=\"elementor-element elementor-element-3663baf e-flex e-con-boxed e-con\" data-id=\"3663baf\" 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-dc95127 elementor-widget elementor-widget-heading\" data-id=\"dc95127\" 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\">Qu'est-ce que le Perceptron ?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-cb680ac elementor-widget elementor-widget-text-editor\" data-id=\"cb680ac\" 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>C&rsquo;est <strong>en 1957 que le Perceptron fut invent\u00e9 par Frank Rosenblatt<\/strong> au laboratoire a\u00e9ronautique de Cornell. En se basant sur les premiers concepts de neurones artificiels, il proposa la \u00ab\u00a0r\u00e8gle d&rsquo;apprentissage du Perceptron\u00a0\u00bb.<\/p><p>Un <strong>Perceptron est un neurone artificiel<\/strong>, et donc une unit\u00e9 de r\u00e9seau de neurones. Il effectue des calculs pour d\u00e9tecter des caract\u00e9ristiques ou des tendances dans les donn\u00e9es d&rsquo;entr\u00e9e.<\/p><p>Il s&rsquo;agit d&rsquo;un <strong>algorithme pour l&rsquo;apprentissage supervis\u00e9<\/strong> de classificateurs binaires. C&rsquo;est cet algorithme qui permet aux neurones artificiels d&rsquo;apprendre et de traiter les \u00e9l\u00e9ments d&rsquo;un ensemble de donn\u00e9es.<\/p><p>Le Perceptron joue <strong>un r\u00f4le essentiel dans les projets de Machine Learning<\/strong>. Il est massivement utilis\u00e9 pour classifier les donn\u00e9es, ou en guise d&rsquo;algorithme permettant de simplifier ou de superviser les capacit\u00e9s d&rsquo;apprentissage de classificateurs binaires.<\/p><p>Rappelons que l&rsquo;apprentissage supervis\u00e9 consiste \u00e0 <strong>apprendre \u00e0 un algorithme \u00e0 r\u00e9aliser des pr\u00e9dictions<\/strong>. Pour y parvenir, on nourrit l&rsquo;algorithme \u00e0 l&rsquo;aide de donn\u00e9es d\u00e9j\u00e0 \u00e9tiquet\u00e9es correctement.<\/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-3ac1ede elementor-widget__width-initial elementor-widget elementor-widget-video\" data-id=\"3ac1ede\" data-element_type=\"widget\" data-settings=\"{&quot;youtube_url&quot;:&quot;https:\\\/\\\/www.youtube.com\\\/watch?v=5w-jolCle6g&quot;,&quot;video_type&quot;:&quot;youtube&quot;,&quot;controls&quot;:&quot;yes&quot;}\" data-widget_type=\"video.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-wrapper elementor-open-inline\">\n\t\t\t<div class=\"elementor-video\"><\/div>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-9b9bfeb elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"9b9bfeb\" 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-data-scientist\">\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\">Tout savoir sur le Perceptron et les r\u00e9seaux de neurones<\/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<div class=\"elementor-element elementor-element-a7594f9 e-flex e-con-boxed e-con\" data-id=\"a7594f9\" 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-ef98a4b elementor-widget elementor-widget-heading\" data-id=\"ef98a4b\" 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\">La r\u00e8gle d'apprentissage du Perceptron<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d00d5d1 elementor-widget elementor-widget-text-editor\" data-id=\"d00d5d1\" 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>Selon<strong> la Perceptron Learning Rule<\/strong> (r\u00e8gle d&rsquo;apprentissage du Perceptron), l&rsquo;algorithme apprend automatiquement les coefficients de poids optimaux. Les caract\u00e9ristiques des donn\u00e9es d&rsquo;entr\u00e9e sont multipli\u00e9es par ces poids, afin de d\u00e9terminer si un neurone \u00ab\u00a0s&rsquo;allume\u00a0\u00bb ou non.<\/p><p>Le <strong>Perceptron re\u00e7oit de multiples signaux d&rsquo;entr\u00e9e<\/strong>. Si la somme des signaux exc\u00e8de un certain seuil, un signal est produit ou au contraire aucun r\u00e9sultat n&rsquo;est \u00e9mis.<\/p><p>Dans le cadre de la m\u00e9thode d&rsquo;apprentissage supervis\u00e9 de Machine Learning, c&rsquo;est ce qui permet de <strong>pr\u00e9dire la cat\u00e9gorie d&rsquo;un \u00e9chantillon de donn\u00e9es<\/strong>. Il s&rsquo;agit donc d&rsquo;un \u00e9l\u00e9ment essentiel.<\/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-dc3714b elementor-widget elementor-widget-image\" data-id=\"dc3714b\" 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=\"768\" height=\"290\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2021\/04\/perceptron-formule.webp\" class=\"attachment-large size-large wp-image-178618\" alt=\"\" srcset=\"https:\/\/datascientest.com\/wp-content\/uploads\/2021\/04\/perceptron-formule.webp 768w, https:\/\/datascientest.com\/wp-content\/uploads\/2021\/04\/perceptron-formule-300x113.webp 300w\" sizes=\"(max-width: 768px) 100vw, 768px\" \/>\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-490e77d e-flex e-con-boxed e-con\" data-id=\"490e77d\" 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-e14f6a6 elementor-widget elementor-widget-heading\" data-id=\"e14f6a6\" 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\">La fonction du Perceptron<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-17ded26 elementor-widget elementor-widget-text-editor\" data-id=\"17ded26\" 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 r\u00e9alit\u00e9, <strong>le Perceptron est une fonction math\u00e9matique<\/strong>. Les donn\u00e9es d&rsquo;entr\u00e9e (x) sont multipli\u00e9es par les coefficients de poids (w). Le r\u00e9sultat produit est une valeur.<\/p><p>Cette <strong>valeur peut \u00eatre positive ou n\u00e9gative<\/strong>. Le neurone artificiel s&rsquo;active si la valeur est positive. Il ne s&rsquo;active donc que si le poids calcul\u00e9 des donn\u00e9es d&rsquo;entr\u00e9e d\u00e9passe un certain seuil.<\/p><p>Le<strong> r\u00e9sultat pr\u00e9dit est compar\u00e9 avec le r\u00e9sultat connu<\/strong>. En cas de diff\u00e9rence, l&rsquo;erreur est r\u00e9tropropag\u00e9e afin de permettre d&rsquo;ajuster les poids.<\/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-2cb6e08 e-flex e-con-boxed e-con\" data-id=\"2cb6e08\" 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-d4d7b01 elementor-widget elementor-widget-heading\" data-id=\"d4d7b01\" 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\">Perceptron \u00e0 couche unique vs multicouches<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7ef5b7b elementor-widget elementor-widget-text-editor\" data-id=\"7ef5b7b\" 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>On distingue <strong>deux types de Perceptron : \u00e0 couche unique et multicouches<\/strong>. Un Perceptron \u00e0 couche unique peut apprendre uniquement des fonctions lin\u00e9aires s\u00e9parables.<\/p><p>Un Perceptron \u00e0 couches multiples, aussi appel\u00e9 <strong>r\u00e9seau neuronal \u00ab\u00a0feed-forward\u00a0\u00bb<\/strong>, permet de surmonter cette limite et offrent une puissance de calcul sup\u00e9rieure. Il est aussi possible de combiner plusieurs Perceptron pour cr\u00e9er un puissant m\u00e9canisme.<\/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-157d9ea e-flex e-con-boxed e-con\" data-id=\"157d9ea\" 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-7fda378 elementor-widget elementor-widget-heading\" data-id=\"7fda378\" 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\">Perceptron et r\u00e9seaux de neurones<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-759d806 elementor-widget elementor-widget-text-editor\" data-id=\"759d806\" 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 r\u00e9sum\u00e9, un r\u00e9seau de neurones est <strong>un ensemble de Perceptrons interconnect\u00e9s<\/strong>. Son fonctionnement repose sur des op\u00e9rations de multiplication entre deux composants importants : les entr\u00e9es de donn\u00e9es (input) et le poids.<\/p><p>La somme de cette multiplication est transmise \u00e0 une fonction d&rsquo;activation, d\u00e9terminant<strong> une valeur binaire de 0 ou 1<\/strong>. C&rsquo;est ce qui permet de classifier les donn\u00e9es.<\/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-e5aff74 elementor-widget__width-initial elementor-widget elementor-widget-video\" data-id=\"e5aff74\" data-element_type=\"widget\" data-settings=\"{&quot;youtube_url&quot;:&quot;https:\\\/\\\/www.youtube.com\\\/watch?v=G7WxP0dcPC8&amp;t=20s&quot;,&quot;video_type&quot;:&quot;youtube&quot;,&quot;controls&quot;:&quot;yes&quot;}\" data-widget_type=\"video.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-wrapper elementor-open-inline\">\n\t\t\t<div class=\"elementor-video\"><\/div>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-0bdbd42 elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"0bdbd42\" 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-data-analyst\">\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\">Commencer une formation Data Analyst<\/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<div class=\"elementor-element elementor-element-ec7362e e-flex e-con-boxed e-con\" data-id=\"ec7362e\" 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-31f2de3 elementor-widget elementor-widget-heading\" data-id=\"31f2de3\" 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\">Comment apprendre \u00e0 utiliser le Perceptron ?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-087f517 elementor-widget elementor-widget-text-editor\" data-id=\"087f517\" 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 apprendre \u00e0 ma\u00eetriser le Perceptron, et tout comprendre sur le Machine Learning, le Deep Learning et les r\u00e9seaux de neurones, vous pouvez opter pour <a href=\"https:\/\/datascientest.com\/formations-data\">les formations de DataScientest<\/a>.<\/p><p>Le Machine Learning, et les diff\u00e9rents algorithmes et m\u00e9thodologies, sont au coeur de <strong>nos formations Data Analyst et Data Scientist<\/strong>. Nous proposons aussi une formation Machine Learning Engineer pour apprendre \u00e0 mettre les mod\u00e8les en production.<\/p><p>Ces diff\u00e9rents parcours vous permettront d&rsquo;acqu\u00e9rir toutes les comp\u00e9tences requises pour exercer les m\u00e9tiers d&rsquo;analyste de donn\u00e9es ou de scientifique des donn\u00e9es. Outre le Machine Learning, vous apprendrez aussi \u00e0 ma\u00eetriser <strong>la<\/strong> <a href=\"https:\/\/datascientest.com\/blog-data-ia-actualites\/programmation-python\">programmation en Python<\/a>, <strong>les<\/strong> <a href=\"https:\/\/datascientest.com\/bien-choisir-sa-base-de-donnees-typologie\">bases de donn\u00e9es<\/a> <strong>et la<\/strong> <a href=\"https:\/\/datascientest.com\/avec-la-data-visualisation-donnez-du-sens-a-vos-donnees\">Data Visualization<\/a>.<\/p><p>Toutes nos formations adoptent<strong> une approche innovante de \u00ab\u00a0<\/strong><a href=\"https:\/\/datascientest.com\/blended-learning\">blended learning<\/a><strong>\u00ab\u00a0<\/strong>\u00a0\u00e0 mi-chemin entre pr\u00e9sentiel et distanciel. Elles peuvent \u00eatre effectu\u00e9es en Formation Continue, ou en bootcamp en quelques semaines seulement.<\/p><p>Les apprenants re\u00e7oivent<strong> un dipl\u00f4me certifi\u00e9 par l&rsquo;Universit\u00e9 de la Sorbonne<\/strong>. Parmi les alumnis, 93% ont trouv\u00e9 un emploi imm\u00e9diatement apr\u00e8s l&rsquo;obtention de ce dipl\u00f4me. N&rsquo;attendez plus, et d\u00e9couvrez nos formations !<\/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-be33c81 elementor-widget__width-initial elementor-widget elementor-widget-video\" data-id=\"be33c81\" data-element_type=\"widget\" data-settings=\"{&quot;youtube_url&quot;:&quot;https:\\\/\\\/www.youtube.com\\\/watch?v=SNNK6z03TaA&amp;t=57s&quot;,&quot;video_type&quot;:&quot;youtube&quot;,&quot;controls&quot;:&quot;yes&quot;}\" data-widget_type=\"video.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-wrapper elementor-open-inline\">\n\t\t\t<div class=\"elementor-video\"><\/div>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-bd25f26 elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"bd25f26\" 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-data-scientist\">\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\">D\u00e9couvrir la formation Data Scientist<\/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<div class=\"elementor-element elementor-element-1f64920 elementor-widget elementor-widget-text-editor\" data-id=\"1f64920\" 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>Vous savez tout sur le Perceptron. D\u00e9couvrez nos dossiers complets sur le <a href=\"https:\/\/datascientest.com\/machine-learning-tout-savoir\">Machine Learning<\/a> et sur le <a href=\"https:\/\/datascientest.com\/deep-learning-definition\">Deep Learning<\/a>.<\/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\t\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Un Perceptron est un neurone artificiel, indispensable pour les r\u00e9seaux de neurones du Deep Learning. D\u00e9couvrez son principe, son utilisation, et son importance en Data Science. Pour comprendre ce qu&rsquo;est un Perceptron, il faut d&rsquo;abord comprendre le concept de r\u00e9seau de neurones artificiels. Comme vous le savez sans doute, le cerveau humain est constitu\u00e9 de [&hellip;]<\/p>\n","protected":false},"author":77,"featured_media":62649,"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>Perceptron : qu&#039;est-ce que c&#039;est et \u00e0 quoi \u00e7a sert ?<\/title>\n<meta name=\"description\" content=\"Un Perceptron est un neurone artificiel, indispensable pour les r\u00e9seaux de neurones du Deep Learning. D\u00e9finition, fonctionnement, formations.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/datascientest.com\/perceptron\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Perceptron : qu&#039;est-ce que c&#039;est et \u00e0 quoi \u00e7a sert ?\" \/>\n<meta property=\"og:url\" content=\"https:\/\/datascientest.com\/perceptron\" \/>\n<meta property=\"og:site_name\" content=\"Formation Data Science | DataScientest.com\" \/>\n<meta property=\"article:published_time\" content=\"2021-04-07T07:29:53+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2023-11-09T14:09:33+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/datascientest.com\/wp-content\/uploads\/2021\/04\/illu_perceptron_blog-138.png\" \/>\n\t<meta property=\"og:image:width\" content=\"1024\" \/>\n\t<meta property=\"og:image:height\" content=\"562\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"Raphael Kassel\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"\u00c9crit par\" \/>\n\t<meta name=\"twitter:data1\" content=\"Raphael Kassel\" \/>\n\t<meta name=\"twitter:label2\" content=\"Dur\u00e9e de lecture estim\u00e9e\" \/>\n\t<meta name=\"twitter:data2\" content=\"5 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/datascientest.com\/perceptron\",\"url\":\"https:\/\/datascientest.com\/perceptron\",\"name\":\"Perceptron : qu'est-ce que c'est et \u00e0 quoi \u00e7a sert ?\",\"isPartOf\":{\"@id\":\"https:\/\/datascientest.com\/#website\"},\"datePublished\":\"2021-04-07T07:29:53+00:00\",\"dateModified\":\"2023-11-09T14:09:33+00:00\",\"author\":{\"@id\":\"https:\/\/datascientest.com\/#\/schema\/person\/6eca16f63daaafcbc96e15549b9d4ee1\"},\"description\":\"Un Perceptron est un neurone artificiel, indispensable pour les r\u00e9seaux de neurones du Deep Learning. 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