{"id":10129,"date":"2020-09-22T12:21:07","date_gmt":"2020-09-22T12:21:07","guid":{"rendered":"https:\/\/multi.datascientest.com\/en\/?page_id=10129"},"modified":"2020-10-20T14:18:40","modified_gmt":"2020-10-20T14:18:40","slug":"deep-learning-for-nlp","status":"publish","type":"page","link":"https:\/\/datascientest.com\/en\/nos-tracks\/deep-learning-for-nlp","title":{"rendered":"Deep Learning for NLP"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"10129\" class=\"elementor elementor-10129\" data-elementor-post-type=\"page\">\n\t\t\t\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-804c3f8 elementor-section-stretched elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"804c3f8\" data-element_type=\"section\" data-settings=\"{&quot;stretch_section&quot;:&quot;section-stretched&quot;,&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-da90d42\" data-id=\"da90d42\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-b9045ce elementor-widget elementor-widget-heading\" data-id=\"b9045ce\" 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><h1 class=\"elementor-heading-title elementor-size-default\">Deep Learning for NLP<\/h1>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<section class=\"elementor-section elementor-inner-section elementor-element elementor-element-96399e1 elementor-section-full_width elementor-section-height-default elementor-section-height-default\" data-id=\"96399e1\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-inner-column elementor-element elementor-element-439cb97\" data-id=\"439cb97\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-815a2f4 elementor-widget elementor-widget-text-editor\" data-id=\"815a2f4\" 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>Nombre d&#8217;heures :<\/p><p>25h<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-inner-column elementor-element elementor-element-52dd62b\" data-id=\"52dd62b\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-1bc3e49 elementor-widget elementor-widget-text-editor\" data-id=\"1bc3e49\" 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>Difficult\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-d46f462 elementor--star-style-star_fontawesome elementor-widget elementor-widget-star-rating\" data-id=\"d46f462\" data-element_type=\"widget\" data-widget_type=\"star-rating.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>@charset \"UTF-8\";.elementor-star-rating{color:#ccd6df;font-family:eicons;display:inline-block}.elementor-star-rating i{display:inline-block;position:relative;font-style:normal;cursor:default}.elementor-star-rating i:before{content:\"\\e934\";display:block;font-size:inherit;font-family:inherit;position:absolute;overflow:hidden;color:#f0ad4e;top:0;left:0}.elementor-star-rating .elementor-star-empty:before{content:none}.elementor-star-rating .elementor-star-1:before{width:10%}.elementor-star-rating .elementor-star-2:before{width:20%}.elementor-star-rating .elementor-star-3:before{width:30%}.elementor-star-rating .elementor-star-4:before{width:40%}.elementor-star-rating .elementor-star-5:before{width:50%}.elementor-star-rating .elementor-star-6:before{width:60%}.elementor-star-rating .elementor-star-7:before{width:70%}.elementor-star-rating .elementor-star-8:before{width:80%}.elementor-star-rating .elementor-star-9:before{width:90%}.elementor-star-rating__wrapper{display:flex;align-items:center}.elementor-star-rating__title{margin-right:10px}.elementor-star-rating--align-right .elementor-star-rating__wrapper{text-align:right;justify-content:flex-end}.elementor-star-rating--align-left .elementor-star-rating__wrapper{text-align:left;justify-content:flex-start}.elementor-star-rating--align-center .elementor-star-rating__wrapper{text-align:center;justify-content:center}.elementor-star-rating--align-justify .elementor-star-rating__title{margin-right:auto}@media (max-width:1120px){.elementor-star-rating-tablet--align-right .elementor-star-rating__wrapper{text-align:right;justify-content:flex-end}.elementor-star-rating-tablet--align-left .elementor-star-rating__wrapper{text-align:left;justify-content:flex-start}.elementor-star-rating-tablet--align-center .elementor-star-rating__wrapper{text-align:center;justify-content:center}.elementor-star-rating-tablet--align-justify .elementor-star-rating__title{margin-right:auto}}@media (max-width:767px){.elementor-star-rating-mobile--align-right .elementor-star-rating__wrapper{text-align:right;justify-content:flex-end}.elementor-star-rating-mobile--align-left .elementor-star-rating__wrapper{text-align:left;justify-content:flex-start}.elementor-star-rating-mobile--align-center .elementor-star-rating__wrapper{text-align:center;justify-content:center}.elementor-star-rating-mobile--align-justify .elementor-star-rating__title{margin-right:auto}}.last-star{letter-spacing:0}.elementor--star-style-star_unicode .elementor-star-rating{font-family:Arial,Helvetica,sans-serif}.elementor--star-style-star_unicode .elementor-star-rating i:not(.elementor-star-empty):before{content:\"\u2605\"}<\/style>\n\t\t<div class=\"elementor-star-rating__wrapper\">\n\t\t\t\t\t\t<div class=\"elementor-star-rating\" title=\"5\/5\" itemtype=\"http:\/\/schema.org\/Rating\" itemscope=\"\" itemprop=\"reviewRating\"><i class=\"elementor-star-full\">&#xE933;<\/i><i class=\"elementor-star-full\">&#xE933;<\/i><i class=\"elementor-star-full\">&#xE933;<\/i><i class=\"elementor-star-full\">&#xE933;<\/i><i class=\"elementor-star-full\">&#xE933;<\/i> <span itemprop=\"ratingValue\" class=\"elementor-screen-only\">5\/5<\/span><\/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<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-inner-column elementor-element elementor-element-4fdca92\" data-id=\"4fdca92\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-e08aeae elementor-widget elementor-widget-text-editor\" data-id=\"e08aeae\" 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>Prix :<\/p><p>1295\u20ac<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-090579f\" data-id=\"090579f\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-d6caa92 elementor-widget elementor-widget-image\" data-id=\"d6caa92\" 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=\"186\" height=\"160\" src=\"https:\/\/datascientest.com\/en\/files\/2020\/09\/Deep-Learning-For-NLP.png\" class=\"attachment-large size-large wp-image-10482\" alt=\"\" \/>\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<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-77dda7a elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"77dda7a\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-e27a867\" data-id=\"e27a867\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-678e481 elementor-widget elementor-widget-heading\" data-id=\"678e481\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Pr\u00e9requis:<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-18f1592 elementor-widget elementor-widget-text-editor\" data-id=\"18f1592\" 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><span style=\"font-weight: 400;\">Ma\u00eetrise de Python, de DataViz et de Machine Learning.<\/span><\/p><p>Bonnes bases en Deep Learning.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-c68dc41 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"c68dc41\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-0ff4c43\" data-id=\"0ff4c43\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-d3141db elementor-widget elementor-widget-heading\" data-id=\"d3141db\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Comp\u00e9tences acquises \u00e0 l\u2019issue:<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-9281109 elementor-widget elementor-widget-text-editor\" data-id=\"9281109\" 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><span style=\"font-weight: 400;\">Ma\u00eetriser de mani\u00e8re avanc\u00e9e la librairie Keras et Tensorflow.<\/span><\/p><p><span style=\"font-weight: 400;\">Utiliser le Word Embedding pour r\u00e9soudre des probl\u00e8mes supervis\u00e9s.<\/span><\/p><p><span style=\"font-weight: 400;\">Ma\u00eetriser, impl\u00e9menter et entra\u00eener le c\u00e9l\u00e8bre algorithme Word2vec.<\/span><\/p><p><span style=\"font-weight: 400;\">Utiliser le Word Embedding pour traduire mot \u00e0 mot un texte dans un autre langage.<\/span><\/p><p><span style=\"font-weight: 400;\">Ma\u00eetriser et utiliser les mod\u00e8les r\u00e9currents (LSTM, GRU) pour :<\/span><\/p><ul><li><span style=\"font-weight: 400;\">G\u00e9n\u00e9rer du texte dans le style Shakespeare.<\/span><\/li><li><span style=\"font-weight: 400;\">Classification sur un texte : prendre en compte la s\u00e9quentialit\u00e9 de la phrase.<\/span><\/li><\/ul><p><span style=\"font-weight: 400;\">Allier les m\u00e9thodes de Computer Vision et NLP pour faire la reconnaissance vocale :<\/span><\/p><ul><li><span style=\"font-weight: 400;\">Utiliser un mod\u00e8le convolutionnel pour faire de l\u2019extraction de caract\u00e9ristiques.<\/span><\/li><li><span style=\"font-weight: 400;\">Ma\u00eetriser et impl\u00e9menter un r\u00e9seau r\u00e9current bidirectionnel.<\/span><\/li><li><span style=\"font-weight: 400;\">Traiter les probl\u00e8mes alignements de donn\u00e9es avec la fonction CTC.<\/span><\/li><\/ul><p><span style=\"font-weight: 400;\">Ma\u00eetriser et utiliser les mod\u00e8les Seq2Seq pour des t\u00e2ches de traduction.<\/span><\/p><p><span style=\"font-weight: 400;\">Allier les vecteurs d\u2019attentions avec les mod\u00e8les Seq2Seq pour am\u00e9liorer les performances du mod\u00e8le.<\/span><\/p><p><span style=\"font-weight: 400;\">Ma\u00eetriser et impl\u00e9menter un simple transformer pour une t\u00e2che de traduction.<\/span><\/p><p><span style=\"font-weight: 400;\">Ma\u00eetriser et utiliser le c\u00e9l\u00e8bre mod\u00e8le de BERT pour une t\u00e2che de \u201cNamed Entity Recognition\u201d.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-ab509bf elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"ab509bf\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-c222c02\" data-id=\"c222c02\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-1f4790e elementor-widget elementor-widget-heading\" data-id=\"1f4790e\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Le cursus:<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<section class=\"elementor-section elementor-inner-section elementor-element elementor-element-cbda809 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"cbda809\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-12850b2\" data-id=\"12850b2\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-6dd2076 elementor-widget elementor-widget-text-editor\" data-id=\"6dd2076\" 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><span id=\"docs-internal-guid-ba4b02d2-7fff-c3b0-c5da-2e7faa30e646\" style=\"font-weight: normal;\"><span style=\"font-size: 11pt; font-family: Arial; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; white-space: pre-wrap;\">Advanced Natural Language Processing<\/span><\/span><\/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-cbad688 elementor-icon-list--layout-traditional elementor-list-item-link-full_width elementor-widget elementor-widget-icon-list\" data-id=\"cbad688\" data-element_type=\"widget\" data-widget_type=\"icon-list.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<link rel=\"stylesheet\" href=\"https:\/\/datascientest.com\/en\/files\/elementor\/css\/custom-widget-icon-list.min.css?ver=1721779071\">\t\t<ul class=\"elementor-icon-list-items\">\n\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item\">\n\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-icon\">\n\t\t\t\t\t\t\t<svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-circle\" viewBox=\"0 0 512 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M256 8C119 8 8 119 8 256s111 248 248 248 248-111 248-248S393 8 256 8z\"><\/path><\/svg>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text\">Word Embedding<\/span>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item\">\n\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-icon\">\n\t\t\t\t\t\t\t<svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-circle\" viewBox=\"0 0 512 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M256 8C119 8 8 119 8 256s111 248 248 248 248-111 248-248S393 8 256 8z\"><\/path><\/svg>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text\">Mod\u00e8le R\u00e9current<\/span>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item\">\n\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-icon\">\n\t\t\t\t\t\t\t<svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-circle\" viewBox=\"0 0 512 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M256 8C119 8 8 119 8 256s111 248 248 248 248-111 248-248S393 8 256 8z\"><\/path><\/svg>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text\">Reconnaissance optique de caract\u00e8res (OCR)<\/span>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item\">\n\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-icon\">\n\t\t\t\t\t\t\t<svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-circle\" viewBox=\"0 0 512 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M256 8C119 8 8 119 8 256s111 248 248 248 248-111 248-248S393 8 256 8z\"><\/path><\/svg>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text\">Mod\u00e8le Seq2Seq et les vecteurs d\u2019attentions<\/span>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item\">\n\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-icon\">\n\t\t\t\t\t\t\t<svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-circle\" viewBox=\"0 0 512 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M256 8C119 8 8 119 8 256s111 248 248 248 248-111 248-248S393 8 256 8z\"><\/path><\/svg>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text\">Transformers<\/span>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t<\/ul>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-c0d9a09\" data-id=\"c0d9a09\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-d190cb6 elementor-widget elementor-widget-text-editor\" data-id=\"d190cb6\" 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>Data<\/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-425cfca elementor-icon-list--layout-traditional elementor-list-item-link-full_width elementor-widget elementor-widget-icon-list\" data-id=\"425cfca\" data-element_type=\"widget\" data-widget_type=\"icon-list.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<ul class=\"elementor-icon-list-items\">\n\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item\">\n\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-icon\">\n\t\t\t\t\t\t\t<svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-circle\" viewBox=\"0 0 512 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M256 8C119 8 8 119 8 256s111 248 248 248 248-111 248-248S393 8 256 8z\"><\/path><\/svg>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text\">Chargement et premi\u00e8re exploration d'un jeu de donn\u00e9es<\/span>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item\">\n\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-icon\">\n\t\t\t\t\t\t\t<svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-circle\" viewBox=\"0 0 512 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M256 8C119 8 8 119 8 256s111 248 248 248 248-111 248-248S393 8 256 8z\"><\/path><\/svg>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text\">Data cleaning<\/span>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item\">\n\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-icon\">\n\t\t\t\t\t\t\t<svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-circle\" viewBox=\"0 0 512 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M256 8C119 8 8 119 8 256s111 248 248 248 248-111 248-248S393 8 256 8z\"><\/path><\/svg>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text\">Data processing<\/span>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item\">\n\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-icon\">\n\t\t\t\t\t\t\t<svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-circle\" viewBox=\"0 0 512 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M256 8C119 8 8 119 8 256s111 248 248 248 248-111 248-248S393 8 256 8z\"><\/path><\/svg>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text\">Pandas<\/span>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t<\/ul>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-3786589 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"3786589\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-8a29e8e\" data-id=\"8a29e8e\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-00998b7 elementor-widget elementor-widget-heading\" data-id=\"00998b7\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Dates<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<section class=\"elementor-section elementor-inner-section elementor-element elementor-element-dffde11 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"dffde11\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-inner-column elementor-element elementor-element-6a4d032\" data-id=\"6a4d032\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-3ab3a86 elementor-widget elementor-widget-heading\" data-id=\"3ab3a86\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Format Bootcamp<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<section class=\"elementor-section elementor-inner-section elementor-element elementor-element-a5ccb34 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"a5ccb34\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-inner-column elementor-element elementor-element-43d8b85\" data-id=\"43d8b85\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-859ed88 elementor-widget elementor-widget-text-editor\" data-id=\"859ed88\" 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>6 octobre<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-inner-column elementor-element elementor-element-9cdae6f\" data-id=\"9cdae6f\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-1cd7538 elementor-widget elementor-widget-text-editor\" data-id=\"1cd7538\" 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>9 novembre<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-inner-column elementor-element elementor-element-8a665e5\" data-id=\"8a665e5\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-4595e8d elementor-widget elementor-widget-text-editor\" data-id=\"4595e8d\" 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>9 d\u00e9cembre<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-inner-column elementor-element elementor-element-7f31eca\" data-id=\"7f31eca\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap\">\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-inner-column elementor-element elementor-element-54c7d9c\" data-id=\"54c7d9c\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-537fbf1 elementor-widget elementor-widget-heading\" data-id=\"537fbf1\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Format Continue<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<section class=\"elementor-section elementor-inner-section elementor-element elementor-element-2d31345 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"2d31345\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-5d526a0\" data-id=\"5d526a0\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-5c38eb2 elementor-widget elementor-widget-text-editor\" data-id=\"5c38eb2\" 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>22 octobre<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-b12ad51\" data-id=\"b12ad51\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-1dea839 elementor-widget elementor-widget-text-editor\" data-id=\"1dea839\" 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>30 novembre<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Deep Learning for NLP Nombre d&#8217;heures : 25h Difficult\u00e9 : &#xE933;&#xE933;&#xE933;&#xE933;&#xE933; 5\/5 Prix : 1295\u20ac Pr\u00e9requis: Ma\u00eetrise de Python, de DataViz et de Machine Learning. Bonnes bases en Deep Learning. Comp\u00e9tences acquises \u00e0 l\u2019issue: Ma\u00eetriser de mani\u00e8re avanc\u00e9e la librairie Keras et Tensorflow. Utiliser le Word Embedding pour r\u00e9soudre des probl\u00e8mes supervis\u00e9s. Ma\u00eetriser, impl\u00e9menter et [&hellip;]<\/p>\n","protected":false},"author":25,"featured_media":0,"parent":10423,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"content-type":"","inline_featured_image":false},"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>Deep Learning for NLP - Data Science Courses | DataScientest<\/title>\n<meta name=\"description\" content=\"Notre track Deep Learning for NLP vous forme \u00e0 ma\u00eetriser de mani\u00e8re avanc\u00e9e les librairies de Deep Learning pour produire du NLP, \u2026\" \/>\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\/en\/nos-tracks\/deep-learning-for-nlp\" \/>\n<meta property=\"og:locale\" content=\"en_GB\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Deep Learning for NLP - 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