{"id":191977,"date":"2025-01-07T06:51:00","date_gmt":"2025-01-07T05:51:00","guid":{"rendered":"https:\/\/datascientest.com\/en\/?p=191977"},"modified":"2025-01-09T00:51:44","modified_gmt":"2025-01-08T23:51:44","slug":"all-about-artificial-neural-networks","status":"publish","type":"post","link":"https:\/\/datascientest.com\/en\/all-about-artificial-neural-networks","title":{"rendered":"What are Artificial Neural Networks?"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"191977\" class=\"elementor elementor-191977\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-24e8607 e-flex e-con-boxed e-con\" data-id=\"24e8607\" 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-2ca8b6e elementor-widget elementor-widget-text-editor\" data-id=\"2ca8b6e\" 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>Artificial neural networks are at the core of the recent remarkable advancements in artificial intelligence. How do they function and what lends them their remarkable strength?<\/b><\/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-06e3600 elementor-widget elementor-widget-text-editor\" data-id=\"06e3600\" 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;\">The mathematical concept of <\/span><b>artificial neural networks (ANN)<\/b><span style=\"font-weight: 400;\"> was first introduced in 1943 by two researchers from the University of Chicago, Warren McCullough, and Walter Pitts. In an article for the journal <\/span><i><span style=\"font-weight: 400;\">Brain Theory<\/span><\/i><span style=\"font-weight: 400;\">, they presented a theory that focused on the neuron as a fundamental element in responding to external stimuli.<\/span><\/p><p><span style=\"font-weight: 400;\">It wasn&#8217;t until 1957 that the first prototype utilizing ANNs was developed\u2014the <\/span><b>Perceptron by Frank Rosenblatt<\/b><span style=\"font-weight: 400;\">. It aimed to perform recognition tasks using a repetitive learning algorithm. However, at the time, computers were not sufficiently powerful to process the vast amounts of data required for effective real-world application. This limitation was highlighted by Marvin Minsky and Seymour Papert in their book <\/span><i><span style=\"font-weight: 400;\">Perceptrons<\/span><\/i><span style=\"font-weight: 400;\"> (1969), where they pointed out the constraints of neural networks. Consequently, research in this area paused for nearly two decades.<\/span><\/p><p><span style=\"font-weight: 400;\">A significant breakthrough occurred in 1986 when David Rumelhart, Geoffrey Hinton, and Ronald Williams published a paper on backpropagation, a learning technique that rekindled interest in neural networks.<\/span><\/p><p><span style=\"font-weight: 400;\">However, it wasn&#8217;t until <a href=\"https:\/\/datascientest.com\/en\/the-evolution-of-data-insights-data-science-vs-business-intelligence-in-the-big-data-era\">the advent of Big Data<\/a> and massively parallel computers that neural networks received adequate processing power. A milestone was achieved in 2012 when Alex Krizhevsky&#8217;s team won the ImageNet competition, which focused on image recognition.<\/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-06ac96b elementor-widget elementor-widget-image\" data-id=\"06ac96b\" 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=\"1000\" height=\"571\" src=\"https:\/\/datascientest.com\/en\/files\/2024\/11\/Artificial-Neural-Networks-datascientest-1.webp\" class=\"attachment-full size-full wp-image-191982\" alt=\"\" srcset=\"https:\/\/datascientest.com\/en\/files\/2024\/11\/Artificial-Neural-Networks-datascientest-1.webp 1000w, https:\/\/datascientest.com\/en\/files\/2024\/11\/Artificial-Neural-Networks-datascientest-1-300x171.webp 300w, https:\/\/datascientest.com\/en\/files\/2024\/11\/Artificial-Neural-Networks-datascientest-1-768x439.webp 768w\" sizes=\"(max-width: 1000px) 100vw, 1000px\" \/>\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<div class=\"elementor-element elementor-element-992e7bf elementor-align-center button-principal elementor-widget elementor-widget-button\" data-id=\"992e7bf\" 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\" 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\">Find out more about ANN<\/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-ae6a573 e-flex e-con-boxed e-con\" data-id=\"ae6a573\" 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-0c30a57 elementor-widget elementor-widget-heading\" data-id=\"0c30a57\" 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\">What is an artificial neural network?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-18a9e2f elementor-widget elementor-widget-text-editor\" data-id=\"18a9e2f\" 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;\">An artificial neural network learns by analyzing pre-defined examples. It is trained to develop a <\/span><b>predictive mathematical model<\/b><span style=\"font-weight: 400;\">, such as the recognition of objects in an image. To do this, an ANN relies on numerous processors organized in layers that operate in parallel. Three types of layers are considered.<\/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-8586df9 elementor-widget elementor-widget-heading\" data-id=\"8586df9\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\"><font size=\"4\">1. Input layer<\/font><\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-205b2eb elementor-widget elementor-widget-text-editor\" data-id=\"205b2eb\" 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;\">This layer is where raw information is initially received. It is comparable to how optical nerves perceive an image before analyzing it.<\/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-8dbb2ba elementor-widget elementor-widget-heading\" data-id=\"8dbb2ba\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\"><font size=\"4\">2. Hidden intermediate layers<\/font><\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-76098a7 elementor-widget elementor-widget-text-editor\" data-id=\"76098a7\" 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;\">The raw data passes through multiple layers, each performing a partial analysis of the information before passing it to the next layer.<\/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-02a05e1 elementor-widget elementor-widget-heading\" data-id=\"02a05e1\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\"><font size=\"4\">3. Output layer<\/font><\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-35b114b elementor-widget elementor-widget-text-editor\" data-id=\"35b114b\" 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;\">The final layer produces the final result, representing the analyzed information.<\/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-430ff23 elementor-widget elementor-widget-heading\" data-id=\"430ff23\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\"><font size=\"4\">Layer adjustment<\/font><\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-809d898 elementor-widget elementor-widget-text-editor\" data-id=\"809d898\" 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;\">In practice, this process can be repeated multiple times, whereby the ANN enters a learning phase where it adjusts its weights to determine the importance of each layer.<\/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-8f3607e elementor-widget elementor-widget-heading\" data-id=\"8f3607e\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\"><font size=\"4\">Inferences<\/font><\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5d1286e elementor-widget elementor-widget-text-editor\" data-id=\"5d1286e\" 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;\">The network can gradually make inferences, which are predictions or deductions applicable to new data.<\/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-206b6ec elementor-widget elementor-widget-image\" data-id=\"206b6ec\" 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=\"1000\" height=\"696\" src=\"https:\/\/datascientest.com\/en\/files\/2024\/11\/Artificial-Neural-Networks-datascientest-2.webp\" class=\"attachment-full size-full wp-image-191981\" alt=\"\" srcset=\"https:\/\/datascientest.com\/en\/files\/2024\/11\/Artificial-Neural-Networks-datascientest-2.webp 1000w, https:\/\/datascientest.com\/en\/files\/2024\/11\/Artificial-Neural-Networks-datascientest-2-300x209.webp 300w, https:\/\/datascientest.com\/en\/files\/2024\/11\/Artificial-Neural-Networks-datascientest-2-768x535.webp 768w\" sizes=\"(max-width: 1000px) 100vw, 1000px\" \/>\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<div class=\"elementor-element elementor-element-3bda9c0 elementor-align-center button-principal elementor-widget elementor-widget-button\" data-id=\"3bda9c0\" 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\" 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 develop an AI<\/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-cfdcfb4 e-flex e-con-boxed e-con\" data-id=\"cfdcfb4\" 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-84e15b6 elementor-widget elementor-widget-heading\" data-id=\"84e15b6\" 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 types of neural networks?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-87d359a elementor-widget elementor-widget-heading\" data-id=\"87d359a\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\"><font size=\"4\">Feedforward networks<\/font><\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-28937a0 elementor-widget elementor-widget-text-editor\" data-id=\"28937a0\" 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;\">In this type of ANN, information flows in a single direction, from input to output.<\/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-931306b elementor-widget elementor-widget-heading\" data-id=\"931306b\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\"><font size=\"4\">Recurrent networks (RNN)<\/font><\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f465224 elementor-widget elementor-widget-text-editor\" data-id=\"f465224\" 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;\"><a href=\"https:\/\/datascientest.com\/en\/recurrent-neural-network-what-is-it\">RNNs<\/a> incorporate recurrent layers, enabling them to &#8220;remember&#8221; information from previous steps. This capability makes them effective for tasks such as <a href=\"https:\/\/datascientest.com\/en\/all-about-voice-recognition\">voice recognition<\/a> (they can identify words by considering previous sounds), <\/span><b>automatic translation<\/b><span style=\"font-weight: 400;\">, and <\/span><b>text analysis<\/b><span style=\"font-weight: 400;\"> (by establishing connections between previously analyzed words).<\/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-496761e elementor-widget elementor-widget-heading\" data-id=\"496761e\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\"><font size=\"4\">Generative adversarial networks (GAN)<\/font><\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-8c396bf elementor-widget elementor-widget-text-editor\" data-id=\"8c396bf\" 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;\"><a href=\"https:\/\/datascientest.com\/en\/what-is-a-conditional-generative-adversarial-network-cgan\">This artificial intelligence model<\/a> utilizes two competing neural networks to generate realistic data.<\/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-6bf9d5b elementor-widget elementor-widget-heading\" data-id=\"6bf9d5b\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\"><font size=\"4\">Convolutional networks (CNN)<\/font><\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7cbc4c7 elementor-widget elementor-widget-text-editor\" data-id=\"7cbc4c7\" 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;\">These networks are primarily used to <\/span><b>process grid-structured data<\/b><span style=\"font-weight: 400;\">, such as images, making them highly effective for applications like facial recognition.<\/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-455080e e-flex e-con-boxed e-con\" data-id=\"455080e\" 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-b4bc25c elementor-widget elementor-widget-heading\" data-id=\"b4bc25c\" 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 concrete applications?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7c34351 elementor-widget elementor-widget-text-editor\" data-id=\"7c34351\" 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;\">ANNs are <\/span><b>at the foundation of recent immense progress in artificial intelligence<\/b><span style=\"font-weight: 400;\"> and can be found in a wide array of applications.<\/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-65c7036 elementor-widget elementor-widget-image\" data-id=\"65c7036\" 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=\"1000\" height=\"571\" src=\"https:\/\/datascientest.com\/en\/files\/2024\/11\/applications-intelligences-artificielles-datascientest.webp\" class=\"attachment-full size-full wp-image-191983\" alt=\"\" srcset=\"https:\/\/datascientest.com\/en\/files\/2024\/11\/applications-intelligences-artificielles-datascientest.webp 1000w, https:\/\/datascientest.com\/en\/files\/2024\/11\/applications-intelligences-artificielles-datascientest-300x171.webp 300w, https:\/\/datascientest.com\/en\/files\/2024\/11\/applications-intelligences-artificielles-datascientest-768x439.webp 768w\" sizes=\"(max-width: 1000px) 100vw, 1000px\" \/>\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<div class=\"elementor-element elementor-element-fa002bf elementor-align-center button-principal elementor-widget elementor-widget-button\" data-id=\"fa002bf\" 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\" 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\">Delve deeper into the field of AI<\/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-d2ca217 elementor-widget elementor-widget-heading\" data-id=\"d2ca217\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\"><font size=\"4\">Computer vision<\/font><\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1880076 elementor-widget elementor-widget-text-editor\" data-id=\"1880076\" 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;\">Facebook&#8217;s <\/span><b><i>DeepFace<\/i><\/b><b> algorithms<\/b><span style=\"font-weight: 400;\"> for facial recognition have proven to be so effective (achieving an accuracy of 97.35% in 2014) that Meta decided to suspend their use after facing several privacy controversies.<\/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-d286915 elementor-widget elementor-widget-heading\" data-id=\"d286915\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\"><font size=\"4\">Art and creativity<\/font><\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-29b7adb elementor-widget elementor-widget-text-editor\" data-id=\"29b7adb\" 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;\"><a href=\"https:\/\/datascientest.com\/en\/prompt-engineering-certification-why-and-how-to-become-an-expert-in-generative-ai\">Generative AIs<\/a> such as <a href=\"https:\/\/datascientest.com\/en\/midjourney-the-ai-that-turns-your-ideas-into-images\">Midjourney<\/a>, <\/span><b>Leonardo<\/b><span style=\"font-weight: 400;\"> (for images), and <\/span><b>Suno<\/b><span style=\"font-weight: 400;\"> (for songs), along with <\/span><b>Gen 3 by Runway<\/b><span style=\"font-weight: 400;\"> (for videos), which are capable of creating works from textual descriptions, are among the most striking examples of ANN usage.<\/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-15e92fe elementor-widget elementor-widget-heading\" data-id=\"15e92fe\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\"><font size=\"4\">Natural language processing<\/font><\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1ffd416 elementor-widget elementor-widget-text-editor\" data-id=\"1ffd416\" 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;\">Voice assistants like <\/span><b>Siri<\/b><span style=\"font-weight: 400;\">, <\/span><b>Alexa<\/b><span style=\"font-weight: 400;\">, <\/span><b>Google Assistant<\/b><span style=\"font-weight: 400;\">, and <\/span><b>Cortana<\/b><span style=\"font-weight: 400;\"> are based on ANNs.<\/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-3174a66 elementor-widget elementor-widget-heading\" data-id=\"3174a66\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\"><font size=\"4\">Gaming and decision-making<\/font><\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-e82d1ca elementor-widget elementor-widget-text-editor\" data-id=\"e82d1ca\" 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;\">In 2016, <\/span><b>AlphaGo<\/b><span style=\"font-weight: 400;\">, <a href=\"https:\/\/datascientest.com\/en\/google-deepmind-creates-ai-that-revolutionizes-sorting-algorithms\">a tool developed by DeepMind<\/a>, a subsidiary of Google, defeated the world champion of Go, a game known for its complexity and vast range of potential combinations, with a stunning score of 5 to 0. Such an achievement seemed impossible ten years earlier.<\/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-971dc12 elementor-widget elementor-widget-heading\" data-id=\"971dc12\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\"><font size=\"4\">Finance<\/font><\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-142c696 elementor-widget elementor-widget-text-editor\" data-id=\"142c696\" 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;\">The ANN implemented by PayPal for the detection of <\/span><b>fraudulent transactions<\/b><span style=\"font-weight: 400;\"> reduced the fraud rate to 0.28% in 2024.<\/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-57a5515 elementor-widget elementor-widget-heading\" data-id=\"57a5515\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\"><font size=\"4\">Automotive<\/font><\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-74b51e8 elementor-widget elementor-widget-text-editor\" data-id=\"74b51e8\" 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;\"><a href=\"https:\/\/datascientest.com\/en\/all-about-autonomous-vehicles\">Autonomous vehicles such as Waymo<\/a> (also known as the Google Car) utilize <\/span><b>ANNs<\/b><span style=\"font-weight: 400;\"> (such as <a href=\"https:\/\/datascientest.com\/en\/convolutional-neural-network-everything-you-need-to-know\">CNNs<\/a>) for the real-time analysis of images capturing their surroundings.<\/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-87b4833 elementor-widget elementor-widget-heading\" data-id=\"87b4833\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\"><font size=\"4\">Meteorology<\/font><\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-fbfcc5b elementor-widget elementor-widget-text-editor\" data-id=\"fbfcc5b\" 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;\">GraphCast by Google DeepMind is capable of <\/span><b>forecasting the weather with improved accuracy from 90% to 99.7%<\/b><span style=\"font-weight: 400;\"> compared to traditional models and can provide forecasts up to 10 days in advance.<\/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-0a03113 elementor-widget elementor-widget-image\" data-id=\"0a03113\" 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=\"1000\" height=\"571\" src=\"https:\/\/datascientest.com\/en\/files\/2024\/11\/Artificial-Neural-Networks-datascientest-3.webp\" class=\"attachment-full size-full wp-image-191980\" alt=\"\" srcset=\"https:\/\/datascientest.com\/en\/files\/2024\/11\/Artificial-Neural-Networks-datascientest-3.webp 1000w, https:\/\/datascientest.com\/en\/files\/2024\/11\/Artificial-Neural-Networks-datascientest-3-300x171.webp 300w, https:\/\/datascientest.com\/en\/files\/2024\/11\/Artificial-Neural-Networks-datascientest-3-768x439.webp 768w\" sizes=\"(max-width: 1000px) 100vw, 1000px\" \/>\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<div class=\"elementor-element elementor-element-d7bd237 elementor-align-center button-principal elementor-widget elementor-widget-button\" data-id=\"d7bd237\" 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\" 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\">Train in artificial intelligence<\/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-6361054 e-flex e-con-boxed e-con\" data-id=\"6361054\" 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-53a0d78 elementor-widget elementor-widget-html\" data-id=\"53a0d78\" 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 an artificial neural network?\",\r\n    \"acceptedAnswer\": {\r\n      \"@type\": \"Answer\",\r\n      \"text\": \"An artificial neural network is a computational model inspired by the functioning of biological neurons in the human brain. It is used in artificial intelligence to solve complex problems such as image recognition, natural language processing, and time series forecasting by learning from data.\"\r\n    }\r\n  }, {\r\n    \"@type\": \"Question\",\r\n    \"name\": \"How does an artificial neural network work?\",\r\n    \"acceptedAnswer\": {\r\n      \"@type\": \"Answer\",\r\n      \"text\": \"An artificial neural network consists of layers of neurons: an input layer, one or more hidden layers, and an output layer. Each neuron receives weighted input signals, applies an activation function, and passes the result to the next layer. The network is trained on data to adjust the weights of connections and minimize prediction errors.\"\r\n    }\r\n  }, {\r\n    \"@type\": \"Question\",\r\n    \"name\": \"What are the most common types of neural networks?\",\r\n    \"acceptedAnswer\": {\r\n      \"@type\": \"Answer\",\r\n      \"text\": \"The most common types of neural networks include feedforward neural networks, convolutional neural networks (CNNs) for image processing, recurrent neural networks (RNNs) for sequential data, and generative adversarial networks (GANs) for content generation.\"\r\n    }\r\n  }, {\r\n    \"@type\": \"Question\",\r\n    \"name\": \"What are the application domains of artificial neural networks?\",\r\n    \"acceptedAnswer\": {\r\n      \"@type\": \"Answer\",\r\n      \"text\": \"Artificial neural networks are used in various fields such as computer vision, natural language processing, autonomous vehicles, medical diagnostics, fraud detection, product recommendations, and video games. Their ability to learn from data makes them a powerful tool for solving complex problems across many industries.\"\r\n    }\r\n  }]\r\n}\r\n<\/script>\r\n\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>Artificial neural networks are at the core of the recent remarkable advancements in artificial intelligence. How do they function and what lends them their remarkable strength? The mathematical concept of artificial neural networks (ANN) was first introduced in 1943 by two researchers from the University of Chicago, Warren McCullough, and Walter Pitts. In an article [&hellip;]<\/p>\n","protected":false},"author":45,"featured_media":191979,"comment_status":"open","ping_status":"open","sticky":false,"template":"elementor_theme","format":"standard","meta":{"content-type":"","inline_featured_image":false},"categories":[2427],"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>What are Artificial Neural Networks?<\/title>\n<meta name=\"description\" content=\"Artificial neural networks are at the core of deep learning and artificial intelligence. 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