{"id":67611,"date":"2021-05-06T17:47:08","date_gmt":"2021-05-06T16:47:08","guid":{"rendered":"https:\/\/multi.datascientest.com\/?p=67611"},"modified":"2023-10-30T18:19:33","modified_gmt":"2023-10-30T17:19:33","slug":"tensor-flow-all-about-googles-machine-learning-framework","status":"publish","type":"post","link":"https:\/\/datascientest.com\/en\/tensor-flow-all-about-googles-machine-learning-framework","title":{"rendered":"Tensor flow : All about Google&#8217;s Machine Learning framework"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"67611\" class=\"elementor elementor-67611\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-d588a43 e-flex e-con-boxed e-con\" data-id=\"d588a43\" 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-c145726 elementor-widget elementor-widget-text-editor\" data-id=\"c145726\" 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><b>TensorFlow is a Machine Learning framework created by Google and available in open source. Discover everything you need to know about it: history, functioning, advantages, training\u2026<\/b><\/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-aaac5b9 e-flex e-con-boxed e-con\" data-id=\"aaac5b9\" 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-fa271fe elementor-widget elementor-widget-text-editor\" data-id=\"fa271fe\" 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;\">Machine Learning is a complex discipline, but fortunately there are tools that simplify its implementation. Among these resources, there is the <\/span><b>TensorFlow framework<\/b><span style=\"font-weight: 400;\"> from Google.<\/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\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-eaf0627 e-flex e-con-boxed e-con\" data-id=\"eaf0627\" 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-3cf743f elementor-widget elementor-widget-heading\" data-id=\"3cf743f\" 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\"><span style=\"font-weight:normal;\" id=\"docs-internal-guid-8b1c5992-7fff-77be-69bc-ee3ec8fdc8f3\"><span style=\"font-size: 15pt; font-family: Arial; background-color: transparent; font-weight: 700; font-variant-numeric: normal; font-variant-east-asian: normal; vertical-align: baseline;\">What is TensorFlow?<\/span><\/span><\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7ae981f elementor-widget elementor-widget-text-editor\" data-id=\"7ae981f\" 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;\">It is an open-source library for numerical computation and Machine Learning compatible with the <\/span><span style=\"text-decoration: underline;\"><strong><a href=\"https:\/\/datascientest.com\/en\/python-the-most-popular-programming-language\">Python language<\/a><\/strong><\/span><span style=\"font-weight: 400;\">. It simplifies the process of <\/span><b>acquiring data<\/b><span style=\"font-weight: 400;\">, training Machine Learning models, generating predictions and refining future results.<\/span><\/p><p><span style=\"font-weight: 400;\">TensorFlow combines <\/span><span style=\"text-decoration: underline;\"><strong><a href=\"https:\/\/datascientest.com\/en\/machine-learning-what-is-it-and-why-does-it-change-the-world\">Machine Learning<\/a><\/strong><\/span><span style=\"font-weight: 400;\"> and <\/span><a href=\"https:\/\/datascientest.com\/en\/all-about-deep-learning\"><span style=\"font-weight: 400;\"><span style=\"text-decoration: underline;\"><strong>Deep Learning<\/strong><\/span><\/span><\/a><span style=\"font-weight: 400;\"> models and algorithms.<\/span> The <b>provides a convenient and comfortable front-end API<\/b><span style=\"font-weight: 400;\"> for creating applications using this framework. These applications can then be executed in <\/span><b>C++<\/b><span style=\"font-weight: 400;\">.<\/span><\/p><p><span style=\"font-weight: 400;\">The framework can be used to <\/span><b>train and run deep neural networks<\/b><span style=\"font-weight: 400;\"> for handwritten digit classification, image recognition, lexical embedding, recurrent neural networks, sequence-to-sequence models for machine translation, natural language processing, and simulations based on partial differential equations.<\/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\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-fa44845 e-flex e-con-boxed e-con\" data-id=\"fa44845\" 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-ea8bef7 elementor-widget elementor-widget-heading\" data-id=\"ea8bef7\" 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\">The history of TensorFlow<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-860aef2 elementor-widget elementor-widget-text-editor\" data-id=\"860aef2\" 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;\">TensorFlow was initially created by the <\/span><b>Google Brain team<\/b><span style=\"font-weight: 400;\">. The goal was originally to use neural networks to improve Google services such as Gmail, Photos or the search engine.<\/span><\/p><p><span style=\"font-weight: 400;\">Thanks to this framework, researchers and developers could work together on an <\/span><b>AI model<\/b><span style=\"font-weight: 400;\">. Subsequently, TensorFlow was made public at the end of 2015 for the first time. However, the first stable release dates back to 2017.<\/span><\/p><p><span style=\"font-weight: 400;\">This tool is open source under the <\/span><b>Apache Open Source license<\/b><span style=\"font-weight: 400;\">. Therefore, it is possible to use it, modify it and redistribute the modified version in commercial form without paying Google.<\/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\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-cc8b7f4 e-flex e-con-boxed e-con\" data-id=\"cc8b7f4\" 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-30f1382 elementor-widget elementor-widget-heading\" data-id=\"30f1382\" 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\">How does TensorFlow work?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6d6c3b2 elementor-widget elementor-widget-text-editor\" data-id=\"6d6c3b2\" 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;\">Developers can create \u201c<\/span><b>dataflow graphs<\/b><span style=\"font-weight: 400;\">\u201d. These are structures to describe how data is transferred through graphs or a series of processing nodes. Each node in the graph represents a mathematical operation. Each connection between the nodes is a multidimensional data array: <\/span><b>a tensor<\/b><span style=\"font-weight: 400;\">.<\/span><\/p><p><span style=\"font-weight: 400;\">Interaction with TensorFlow is done through <\/span><span style=\"text-decoration: underline;\"><strong><a href=\"https:\/\/datascientest.com\/blog-data-ia-actualites\/programmation-python\">the Python language<\/a><\/strong><\/span><span style=\"font-weight: 400;\">, which is <\/span><b>both simple to learn and to use<\/b><span style=\"font-weight: 400;\">. This language makes it easy to express how high-level abstractions can be coupled together.<\/span><\/p><p><span style=\"font-weight: 400;\">TensorFlow nodes and tensors are Python objects. TensorFlow applications, themselves, are Python applications.\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">However, the mathematical operations themselves are not performed in Python. The transformation libraries accessible via TensorFlow are written as <\/span><b>high-performance C++ binaries<\/b><span style=\"font-weight: 400;\">. The Python language simply directs traffic between the various parts and allows them to be connected through high-level abstractions.<\/span><\/p><p><span style=\"font-weight: 400;\">TensorFlow applications can run on a local machine, a <\/span><b>cluster in the cloud<\/b><span style=\"font-weight: 400;\">, iOS or Android smartphones and tablets, or CPUs and GPUs. On its own Cloud, Google offers to run <\/span><b>TensorFlow<\/b><span style=\"font-weight: 400;\"> on its<\/span><b> TensorFlow Processing Unit <\/b><span style=\"font-weight: 400;\">(TPU) chips to take advantage of <\/span><b>increased acceleration<\/b><span style=\"font-weight: 400;\">. The models created by TensorFlow can then be deployed on any device to deliver predictions.<\/span><\/p><p><span style=\"font-weight: 400;\">With TensorFlow 2.0, launching in October 2019, the framework has undergone a major overhaul. The changes made are based on user feedback This new version is <\/span><b>more powerful and easier to use<\/b><span style=\"font-weight: 400;\">, especially via the use of the<\/span><b> Keras API<\/b><span style=\"font-weight: 400;\"> for model training. A new API simplifies distributed training.<\/span><\/p><p><span style=\"font-weight: 400;\">Compatibility with <\/span><b>TensorFlow Lite<\/b><span style=\"font-weight: 400;\"> allows models to be deployed on a wider variety of platforms. The only downside is that code written for earlier versions of TensorFlow must be rewritten to take full advantage of the new features in TensorFlow 2.0.<\/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\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-b7cf061 e-flex e-con-boxed e-con\" data-id=\"b7cf061\" 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-5340625 elementor-align-center button-principal elementor-widget elementor-widget-button\" data-id=\"5340625\" 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-md\" href=\"https:\/\/datascientest.com\/en\/machine-learning-engineer-course\">\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\">Learn to use TensorFlow<\/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-e39f7dc e-flex e-con-boxed e-con\" data-id=\"e39f7dc\" 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-def3589 elementor-widget elementor-widget-video\" data-id=\"def3589\" data-element_type=\"widget\" data-settings=\"{&quot;youtube_url&quot;:&quot;https:\\\/\\\/www.youtube.com\\\/watch?v=2FmcHiLCwTU&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-2e2ee4e e-flex e-con-boxed e-con\" data-id=\"2e2ee4e\" 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-759f01b elementor-widget elementor-widget-heading\" data-id=\"759f01b\" 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\">What are the advantages of TensorFlow?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d1ce2d1 elementor-widget elementor-widget-text-editor\" data-id=\"d1ce2d1\" 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;\">TensorFlow brings many advantages for <\/span><b>Machine Learning development<\/b><span style=\"font-weight: 400;\">. One of the main ones is abstraction.<\/span><\/p><p><span style=\"font-weight: 400;\">Rather than having to dwell on the details of implementing algorithms or connecting functions, developers can focus on the overall logic of the application. The framework takes care of the <\/span><b>technical details<\/b><span style=\"font-weight: 400;\">.<\/span><\/p><p><span style=\"font-weight: 400;\">Debugging and inspection of applications is also simplified. For example, the \u201c<\/span><b>eager execution<\/b><span style=\"font-weight: 400;\">\u201d mode allows each operation of a graph to be evaluated and modified separately. The graph is therefore not a single, opaque object that has to be evaluated completely. The <\/span><b>TensorBoard visualization<\/b><span style=\"font-weight: 400;\"> suite, on the other hand, allows inspection of how graphs are executed through an <\/span><b>interactive web-based dashboard<\/b><span style=\"font-weight: 400;\">.<\/span><\/p><p><span style=\"font-weight: 400;\">In addition, the fact that <\/span><b>Google<\/b><span style=\"font-weight: 400;\"> is behind this project is a real asset. This has not only accelerated development, but also created many offers around <\/span><b>TensorFlow<\/b><span style=\"font-weight: 400;\"> simplifying its deployment and use.<\/span><\/p><p><span style=\"font-weight: 400;\">We can mention the <\/span><b>TPU chips <\/b><span style=\"font-weight: 400;\">allowing increased performance on the <\/span><b>Google Cloud<\/b><span style=\"font-weight: 400;\">, but also an online hub for sharing models created with the framework, or the mobile and web versions.<\/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\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-d55d7bc e-flex e-con-boxed e-con\" data-id=\"d55d7bc\" 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-fe156b0 elementor-widget elementor-widget-video\" data-id=\"fe156b0\" data-element_type=\"widget\" data-settings=\"{&quot;youtube_url&quot;:&quot;https:\\\/\\\/www.youtube.com\\\/watch?v=yjprpOoH5c8&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\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-bca90d8 e-flex e-con-boxed e-con\" data-id=\"bca90d8\" 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-0e7d216 elementor-widget elementor-widget-heading\" data-id=\"0e7d216\" 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\">Alternatives to TensorFlow<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a20fd22 elementor-widget elementor-widget-text-editor\" data-id=\"a20fd22\" 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;\">There are several <\/span><b>alternatives to TensorFlow<\/b><span style=\"font-weight: 400;\"> on the Machine Learning framework market. Among the most popular are PyTorch, CNTK and MXNet.<\/span><\/p><p><b>PyTorch<\/b><span style=\"font-weight: 400;\"> has many similarities with TensorFlow. This framework is based on the Python language, and relies on hardware accelerated components. It also offers a <\/span><b>highly interactive development model<\/b><span style=\"font-weight: 400;\"> and many useful components already included.<\/span><\/p><p><span style=\"font-weight: 400;\">Overall, <\/span><b>PyTorch<\/b><span style=\"font-weight: 400;\"> is a better choice for <\/span><b>rapid project development<\/b><span style=\"font-weight: 400;\">. On the other hand, TensorFlow is preferred for larger projects and more complex workflows.<\/span><\/p><p><b>CNTK is the Microsoft Cognitive suite of tools<\/b><span style=\"font-weight: 400;\">. Like TensorFlow, it uses a graphical structure to <\/span><b>describe data flows<\/b><span style=\"font-weight: 400;\">. However, it focuses on the creation of Deep Learning neural networks.<\/span><\/p><p><span style=\"font-weight: 400;\">As a result, CNTK can handle neural network tasks faster. It also offers a wider set of APIs: Python, C++, C#, Java\u2026 it is however <\/span><b>more difficult to master<\/b><span style=\"font-weight: 400;\"> and deploy than TensorFlow.<\/span><\/p><p><span style=\"font-weight: 400;\">Finally, Apache MXNet has been adopted by Amazon as the main Deep Learning framework on AWS. It can be linearly extended across <\/span><b>multiple GPUs and machines<\/b><span style=\"font-weight: 400;\">. This framework is compatible with a wide variety of programming language APIs: Python, C++, Scala, R, JavaScript, Julia, Perl, Go\u2026<\/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\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-9697f78 e-flex e-con-boxed e-con\" data-id=\"9697f78\" 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-f74a632 elementor-widget elementor-widget-video\" data-id=\"f74a632\" data-element_type=\"widget\" data-settings=\"{&quot;youtube_url&quot;:&quot;https:\\\/\\\/www.youtube.com\\\/watch?v=744f60NyAgc&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\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-f4187ee e-flex e-con-boxed e-con\" data-id=\"f4187ee\" 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-eb8380e elementor-widget elementor-widget-heading\" data-id=\"eb8380e\" 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\">How do I learn to use it?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-02aba03 elementor-widget elementor-widget-text-editor\" data-id=\"02aba03\" 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;\">To learn how to use <\/span><b>TensorFlow<\/b><span style=\"font-weight: 400;\">, you can turn to our <\/span><b>Machine Learning Engineer training<\/b><span style=\"font-weight: 400;\">. You\u2019ll learn how to use all the major Machine Learning Engineer tools and techniques, including <\/span><b>Google\u2019s framework<\/b><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\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-ee5f883 e-flex e-con-boxed e-con\" data-id=\"ee5f883\" 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-2b71129 elementor-align-center button-principal elementor-widget elementor-widget-button\" data-id=\"2b71129\" 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-md\" href=\"https:\/\/datascientest.com\/en\/machine-learning-engineer-course\">\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\">Start a Machine Learning Engineer training<\/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-ff1fe4c e-flex e-con-boxed e-con\" data-id=\"ff1fe4c\" 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-19b2b4c elementor-widget elementor-widget-html\" data-id=\"19b2b4c\" 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\">\r\n{\r\n  \"@context\": \"https:\/\/schema.org\",\r\n  \"@type\": \"FAQPage\",\r\n  \"mainEntity\": [{\r\n    \"@type\": \"Question\",\r\n    \"name\": \"What is TensorFlow?\",\r\n    \"acceptedAnswer\": {\r\n      \"@type\": \"Answer\",\r\n      \"text\": \"It is an open-source library for numerical computation and Machine Learning compatible with the Python language. 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The framework takes care of the technical details.\"\r\n    }\r\n  }]\r\n}\r\n<\/script>\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>TensorFlow is a Machine Learning framework created by Google and available in open source. Discover everything you need to know about it: history, functioning, advantages, training\u2026 Machine Learning is a complex discipline, but fortunately there are tools that simplify its implementation. Among these resources, there is the TensorFlow framework from Google. What is TensorFlow? 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