{"id":150272,"date":"2022-03-15T11:53:00","date_gmt":"2022-03-15T10:53:00","guid":{"rendered":"https:\/\/datascientest.com\/?p=150272"},"modified":"2023-11-09T14:05:26","modified_gmt":"2023-11-09T14:05:26","slug":"tensorflow-avec-anaconda-sur-macos","status":"publish","type":"post","link":"https:\/\/datascientest.com\/tensorflow-avec-anaconda-sur-macos","title":{"rendered":"Installer Tensorflow avec Anaconda sur macOS : la marche \u00e0 suivre"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"150272\" class=\"elementor elementor-150272\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-ba073cd elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"ba073cd\" 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-d39fe8a\" data-id=\"d39fe8a\" 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-64e5ad0 elementor-widget elementor-widget-text-editor\" data-id=\"64e5ad0\" 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><strong>Le framework TensorFlow de Google permet de distribuer les calculs informatiques entre de multiples CPU et GPU. Cette parall\u00e9lisation est tr\u00e8s utile pour acc\u00e9l\u00e9rer l&rsquo;entra\u00eenement Machine Learning, et de nombreux d\u00e9veloppeurs et Data Scientists exploitent cet outil.<\/strong><\/h2>\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-aa90eb6 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"aa90eb6\" 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-d082789\" data-id=\"d082789\" 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-5cff167 elementor-widget elementor-widget-text-editor\" data-id=\"5cff167\" 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;\">Le <\/span><b>site web officiel de<\/b> Tensorflow<span style=\"font-weight: 400;\"> propose des instructions pour l&rsquo;installation sur un environnement macOS. Ces instructions officielles sont disponibles \u00e0 l&rsquo;<\/span><a href=\"https:\/\/www.tensorflow.org\/install?hl=fr\"><span style=\"font-weight: 400;\">adresse suivante.\u00a0<\/span><\/a><\/p><p><span style=\"font-weight: 400;\">On retrouve aussi des instructions pour virtualenv, un environnement pip natif, en utilisant un conteneur Docker, une <\/span><b>ligne de commande Anaconda<\/b><span style=\"font-weight: 400;\"> ou \u00e0 partir de diff\u00e9rentes sources. En revanche, le site officiel ne propose pas d&rsquo;instructions pour l&rsquo;installation sur <\/span><b>un environnement d&rsquo;application Anaconda Navigator<\/b><span style=\"font-weight: 400;\">.<\/span><\/p><p><span style=\"font-weight: 400;\">Pour rappel, Anaconda est un environnement de d\u00e9veloppement gratuit et open-source pour <\/span><b>Python et R<\/b><span style=\"font-weight: 400;\">. Avec Anaconda, la gestion des biblioth\u00e8ques et des environnements configurables est simplifi\u00e9e et automatis\u00e9e.<\/span><\/p><p><span style=\"font-weight: 400;\">C&rsquo;est \u00e9galement un excellent point de d\u00e9part pour exp\u00e9rimenter des packages de <\/span><b>Data Science <\/b><span style=\"font-weight: 400;\">et de <\/span><b>Machine Learning<\/b><span style=\"font-weight: 400;\">. De plus en plus de biblioth\u00e8ques TensorFlow sont compatibles avec Anaconda.<\/span><\/p><p><span style=\"font-weight: 400;\">De son c\u00f4t\u00e9, Anaconda Navigator est <\/span><b>une interface utilisateur graphique bas\u00e9e sur Anaconda<\/b><span style=\"font-weight: 400;\">. Elle facilite la gestion des packages, environnements et canaux.<\/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-abc22bf elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"abc22bf\" 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-fcb0ae2\" data-id=\"fcb0ae2\" 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-b111f2f elementor-widget elementor-widget-heading\" data-id=\"b111f2f\" 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\">Installer Anaconda-Navigator<\/h3>\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-21fb9d7 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"21fb9d7\" 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-2acd7cf\" data-id=\"2acd7cf\" 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-ac05c5e elementor-widget elementor-widget-text-editor\" data-id=\"ac05c5e\" 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;\">Pour commencer, t\u00e9l\u00e9chargez Anaconda depuis le site officiel et installez-le en suivant les instructions. <\/span><b>Assurez-vous d&rsquo;installer la derni\u00e8re mise \u00e0 jour en date<\/b><span style=\"font-weight: 400;\">. Vous pouvez forcer la mise \u00e0 jour en utilisant une interface de ligne de commande et cette commande : \u00a0\u00bb $ conda update anaconda anaconda-navigator \u00ab\u00a0.<\/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-f0e6dbe elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"f0e6dbe\" 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-71b335b\" data-id=\"71b335b\" 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-5f1fa0d elementor-widget elementor-widget-image\" data-id=\"5f1fa0d\" 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=\"341\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2022\/03\/anaconda-navigator-1024x437.jpg\" class=\"attachment-large size-large wp-image-150279\" alt=\"anaconda-navigator\" srcset=\"https:\/\/datascientest.com\/wp-content\/uploads\/2022\/03\/anaconda-navigator-1024x437.jpg 1024w, https:\/\/datascientest.com\/wp-content\/uploads\/2022\/03\/anaconda-navigator-300x128.jpg 300w, https:\/\/datascientest.com\/wp-content\/uploads\/2022\/03\/anaconda-navigator-768x328.jpg 768w, https:\/\/datascientest.com\/wp-content\/uploads\/2022\/03\/anaconda-navigator.jpg 1517w\" 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<\/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-3121060 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"3121060\" 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-10db72f\" data-id=\"10db72f\" 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-9c6835f elementor-widget elementor-widget-text-editor\" data-id=\"9c6835f\" 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;\">Lancez ensuite l&rsquo;application Anaconda-Navigator. Dans cette application, choisissez l&rsquo;\u00e9l\u00e9ment Environnements dans le menu en colonne situ\u00e9 sur la gauche. Par d\u00e9faut, vous trouverez <\/span><b>un environnement Root<\/b><span style=\"font-weight: 400;\">. Il est possible de mettre en place de multiples environnements avec des configurations diff\u00e9rentes.<\/span><\/p><p><span style=\"font-weight: 400;\">Il est pr\u00e9f\u00e9rable de <\/span><b>mettre \u00e0 jour les packages existants<\/b><span style=\"font-weight: 400;\"> vers les derni\u00e8res versions en date. Installez aussi la derni\u00e8re version du langage Python.<\/span><\/p><p><span style=\"font-weight: 400;\">Choisissez l&rsquo;\u00e9l\u00e9ment \u00a0\u00bb Environnements \u00a0\u00bb dans le menu en colonne sur la gauche, et choisissez l&rsquo;environnement \u00e0 mettre \u00e0 jour. En l&rsquo;occurrence, l&rsquo;environnement <\/span><b>\u00a0\u00bb Root \u00ab\u00a0<\/b><span style=\"font-weight: 400;\">.<\/span><\/p><p><span style=\"font-weight: 400;\">Dans le menu d\u00e9roulant, choisissez \u00a0\u00bb Upgradable \u00ab\u00a0. Choisissez le num\u00e9ro de version dans la colonne Version pour d\u00e9finir le package \u00e0 mettre \u00e0 jour. <\/span><b>Assurez-vous que Python soit \u00e0 jour<\/b><span style=\"font-weight: 400;\">, puis cliquez sur \u00a0\u00bb Appliquer \u00ab\u00a0.<\/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-c1d37d2 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"c1d37d2\" 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-73bee95\" data-id=\"73bee95\" 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-f11f3eb elementor-widget elementor-widget-heading\" data-id=\"f11f3eb\" 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\">Cr\u00e9er un nouvel environnement pour installer les packages Tensorflow<\/h3>\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-f14b467 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"f14b467\" 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-152015d\" data-id=\"152015d\" 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-8df0d95 elementor-widget elementor-widget-text-editor\" data-id=\"8df0d95\" 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;\">Un nouvel environnement peut \u00eatre cr\u00e9\u00e9 pour installer <\/span><b>les packages TensorFlow<\/b><span style=\"font-weight: 400;\">. Cet environnement contiendra les packages n\u00e9cessaires de base. La derni\u00e8re version de Python et<\/span><a href=\"https:\/\/datascientest.com\/formation-tensorflow\"> Tensorflow<\/a> <span style=\"font-weight: 400;\">sera install\u00e9e.<\/span><\/p><p><span style=\"font-weight: 400;\">Cliquez sur le bouton <\/span><b>\u00a0\u00bb cr\u00e9er \u00ab\u00a0<\/b><span style=\"font-weight: 400;\"> en bas de la colonne Environnements. Dans le menu qui s&rsquo;ouvre, tapez \u00a0\u00bb Tensorflow \u00a0\u00bb dans le champ de texte \u00a0\u00bb Name \u00ab\u00a0. <\/span><b>Cochez la case Python<\/b><span style=\"font-weight: 400;\">, et choisissez la derni\u00e8re version. Cliquez sur \u00a0\u00bb Cr\u00e9er \u00ab\u00a0.<\/span><\/p><p><span style=\"font-weight: 400;\">Les packages Tensorflow peuvent maintenant \u00eatre install\u00e9s dans le nouvel environnement. Dans le menu d\u00e9roulant en haut \u00e0 droite, choisissez <\/span><b>\u00a0\u00bb Not Installed \u00ab\u00a0<\/b><span style=\"font-weight: 400;\">. Tapez \u00a0\u00bb tensorflow \u00a0\u00bb dans le champ textuel Search Packages et cliquez sur Return. Cochez la case dans la colonne de gauche pr\u00e8s des deux noms de package tensorflow. Cliquez sur Appliquer.<\/span><\/p><p><span style=\"font-weight: 400;\">Il ne vous reste qu&rsquo;\u00e0 <\/span><b>valider l&rsquo;installation en utilisant le nouvel environnement Tensorflow<\/b><span style=\"font-weight: 400;\">. Assurez-vous qu&rsquo;il soit s\u00e9lectionn\u00e9, puis cliquez sur la fl\u00e8che \u00e0 c\u00f4t\u00e9 du nom d&rsquo;environnement<\/span><a href=\"https:\/\/datascientest.com\/tensorflow\"> Tensorflow.<\/a><span style=\"font-weight: 400;\"> S\u00e9lectionnez <\/span><b>\u00a0\u00bb Open with IPython \u00ab\u00a0<\/b><span style=\"font-weight: 400;\">, et une fen\u00eatre de terminal s&rsquo;affiche \u00e0 l&rsquo;\u00e9cran avec les param\u00e8tres de l&rsquo;environnement.<\/span><\/p><p><span style=\"font-weight: 400;\">Suivant les recommandations du site web officiel de Tensorflow, tapez cette commande dans la fen\u00eatre de terminal :<\/span><\/p><p><b>import tensorflow as tf<\/b><\/p><p><b>hello = tf.constant (&lsquo;Hello, TensorFlow! &lsquo;)<\/b><\/p><p><b>sess = tf.Session ()<\/b><\/p><p><b>print (sess.run(hello))<\/b><\/p><p><span style=\"font-weight: 400;\">Le nouvel environnement que vous venez d&rsquo;installer et de configurer est pr\u00eat pour le d\u00e9veloppement avec tensorflow. En cas d&rsquo;erreur, assurez-vous d&rsquo;avoir correctement suivi les instructions.<\/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-43b2c82 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"43b2c82\" 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-deb7a64\" data-id=\"deb7a64\" 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-85dcf1a elementor-widget elementor-widget-image\" data-id=\"85dcf1a\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"800\" height=\"375\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2022\/03\/tensorflow-mac-1024x480.jpg\" class=\"attachment-large size-large wp-image-150287\" alt=\"tensorflow-mac\" srcset=\"https:\/\/datascientest.com\/wp-content\/uploads\/2022\/03\/tensorflow-mac-1024x480.jpg 1024w, https:\/\/datascientest.com\/wp-content\/uploads\/2022\/03\/tensorflow-mac-300x141.jpg 300w, https:\/\/datascientest.com\/wp-content\/uploads\/2022\/03\/tensorflow-mac-768x360.jpg 768w, https:\/\/datascientest.com\/wp-content\/uploads\/2022\/03\/tensorflow-mac.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<\/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-979b9b7 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"979b9b7\" 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-411eaee\" data-id=\"411eaee\" 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-d08fd36 elementor-widget elementor-widget-heading\" data-id=\"d08fd36\" 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 TensorFlow ?<\/h3>\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-dce1985 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"dce1985\" 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-ed60678\" data-id=\"ed60678\" 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-cd7b947 elementor-widget elementor-widget-text-editor\" data-id=\"cd7b947\" 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;\">En tant qu&rsquo;outil cl\u00e9 du Machine Learning, TensorFlow est <\/span><b>incontournable en Data Science<\/b><span style=\"font-weight: 400;\">. Pour apprendre \u00e0 l&rsquo;utiliser, vous pouvez choisir les formations DataScientest.<\/span><\/p><p><span style=\"font-weight: 400;\">Le module Deep Learning de notre formation Data Scientist couvre notamment <\/span><b>TensorFlow,<\/b><a href=\"https:\/\/datascientest.com\/keras\"> KERAS<\/a><b> et les r\u00e9seaux de neurones CNN et RNN.<\/b><span style=\"font-weight: 400;\"> Les autres modules de ce cursus abordent la programmation en Python, la DataViz, le Machine Learning, le Big Data, les bases de donn\u00e9es, et les syst\u00e8mes IA.<\/span><\/p><p><span style=\"font-weight: 400;\">\u00c0 l&rsquo;issue du parcours, vous aurez toutes les comp\u00e9tences requises pour devenir Data Scientist. Un <\/span><b>certificat<\/b><span style=\"font-weight: 400;\"> d\u00e9livr\u00e9 par MINES ParisTech \/ PSL Executive Education dans le cadre de notre partenariat permet de valider votre expertise.<\/span><\/p><p><span style=\"font-weight: 400;\">Ce programme peut \u00eatre compl\u00e9t\u00e9 en neuf mois de Formation Continue, ou en 11 semaines en mode <\/span><b>BootCamp intensif<\/b><span style=\"font-weight: 400;\">. Plus de 80% des alumnis ont trouv\u00e9 un emploi imm\u00e9diatement.<\/span><\/p><p><span style=\"font-weight: 400;\">Si vous poss\u00e9dez d\u00e9j\u00e0 une exp\u00e9rience en Data Science, vous pouvez choisir notre cursus expert Deep Learning. Cette <\/span><b>Formation Continue de 10 semaines<\/b><span style=\"font-weight: 400;\"> permet de se perfectionner en programmation, d&rsquo;apprendre \u00e0 manipuler Keras et TensorFlow, et de ma\u00eetriser les techniques IA comme <\/span><b>la Computer Vision et le Natural Language Processing<\/b><span style=\"font-weight: 400;\">.<\/span><\/p><p><span style=\"font-weight: 400;\">Notre format Blended Learning combine apprentissage \u00e0 distance sur notre plateforme en ligne coach\u00e9e et Masterclass collectives. Toutes nos formations sont \u00e9ligibles au <\/span><b>Compte Personnel de Formation<\/b><span style=\"font-weight: 400;\"> pour le financement. N&rsquo;attendez plus et d\u00e9couvrez les formations DataScientest !<\/span><\/p><p><span style=\"font-weight: 400;\">Vous savez d\u00e9sormais comment installer TensorFlow sur Anaconda pour macOS. Pour plus d&rsquo;informations, d\u00e9couvrez notre dossier complet sur TensorFlow, et<\/span><a href=\"https:\/\/datascientest.com\/deep-learning-definition\"> notre introduction au Deep Learning<\/a><span style=\"font-weight: 400;\">.<\/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-8c1c2d9 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"8c1c2d9\" 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-0d528e9\" data-id=\"0d528e9\" 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-aeefe55 elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"aeefe55\" 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 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<\/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-cf5d3e2 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"cf5d3e2\" 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-4514d5f\" data-id=\"4514d5f\" 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-10f02ee elementor-widget elementor-widget-html\" data-id=\"10f02ee\" data-element_type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<script type=\"application\/ld+json\">\n{\n  \"@context\": \"https:\/\/schema.org\",\n  \"@type\": \"FAQPage\",\n  \"mainEntity\": [{\n    \"@type\": \"Question\",\n    \"name\": \"Comment installer Anaconda-Navigator\u200b?\",\n    \"acceptedAnswer\": {\n      \"@type\": \"Answer\",\n      \"text\": \"Pour commencer, t\u00e9l\u00e9chargez Anaconda depuis le site officiel et installez-le en suivant les instructions. 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Pour apprendre \u00e0 l'utiliser, vous pouvez choisir les formations DataScientest.\"\n    }\n  }]\n}\n<\/script>\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\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Le framework TensorFlow de Google permet de distribuer les calculs informatiques entre de multiples CPU et GPU. Cette parall\u00e9lisation est tr\u00e8s utile pour acc\u00e9l\u00e9rer l&rsquo;entra\u00eenement Machine Learning, et de nombreux d\u00e9veloppeurs et Data Scientists exploitent cet outil. Le site web officiel de Tensorflow propose des instructions pour l&rsquo;installation sur un environnement macOS. Ces instructions officielles [&hellip;]<\/p>\n","protected":false},"author":78,"featured_media":177904,"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>Installer Tensorflow dans Anaconda sur macOS : la marche \u00e0 suivre<\/title>\n<meta name=\"description\" content=\"D\u00e9couvrez comment installer TensorFlow pour Anaconda sur macOS, et sur l&#039;interface graphique Anaconda Navigator.\" \/>\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\/tensorflow-avec-anaconda-sur-macos\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Installer Tensorflow avec Anaconda sur macOS : la marche \u00e0 suivre\" \/>\n<meta property=\"og:url\" content=\"https:\/\/datascientest.com\/tensorflow-avec-anaconda-sur-macos\" \/>\n<meta property=\"og:site_name\" content=\"Formation Data Science | DataScientest.com\" \/>\n<meta property=\"article:published_time\" content=\"2022-03-15T10:53:00+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2023-11-09T14:05:26+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/datascientest.com\/wp-content\/uploads\/2022\/03\/mac-tensorflow-anaconda.png\" \/>\n\t<meta property=\"og:image:width\" content=\"900\" \/>\n\t<meta property=\"og:image:height\" content=\"450\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"J\u00e9r\u00e9my Robert\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"\u00c9crit par\" \/>\n\t<meta name=\"twitter:data1\" content=\"J\u00e9r\u00e9my Robert\" \/>\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\/tensorflow-avec-anaconda-sur-macos\",\"url\":\"https:\/\/datascientest.com\/tensorflow-avec-anaconda-sur-macos\",\"name\":\"Installer Tensorflow dans Anaconda sur macOS : la marche \u00e0 suivre\",\"isPartOf\":{\"@id\":\"https:\/\/datascientest.com\/#website\"},\"datePublished\":\"2022-03-15T10:53:00+00:00\",\"dateModified\":\"2023-11-09T14:05:26+00:00\",\"author\":{\"@id\":\"https:\/\/datascientest.com\/#\/schema\/person\/7af2361c48e24e79a8aa2360e6e74925\"},\"description\":\"D\u00e9couvrez comment installer TensorFlow pour Anaconda sur macOS, et sur l'interface graphique Anaconda Navigator.\",\"inLanguage\":\"fr-FR\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/datascientest.com\/tensorflow-avec-anaconda-sur-macos\"]}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/datascientest.com\/#website\",\"url\":\"https:\/\/datascientest.com\/\",\"name\":\"Formation Data Science | DataScientest.com\",\"description\":\"Leader de la formation en Data Science\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/datascientest.com\/?s={search_term_string}\"},\"query-input\":\"required name=search_term_string\"}],\"inLanguage\":\"fr-FR\"},{\"@type\":\"Person\",\"@id\":\"https:\/\/datascientest.com\/#\/schema\/person\/7af2361c48e24e79a8aa2360e6e74925\",\"name\":\"J\u00e9r\u00e9my Robert\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"fr-FR\",\"@id\":\"https:\/\/datascientest.com\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/datascientest.com\/wp-content\/uploads\/2023\/11\/jeremyrobert.jpeg\",\"contentUrl\":\"https:\/\/datascientest.com\/wp-content\/uploads\/2023\/11\/jeremyrobert.jpeg\",\"caption\":\"J\u00e9r\u00e9my Robert\"},\"description\":\"J\u00e9r\u00e9my Robert est actuellement Directeur p\u00e9dagogique B2B chez DataScientest.com. 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