{"id":3537,"date":"2025-11-24T11:12:57","date_gmt":"2025-11-24T10:12:57","guid":{"rendered":"https:\/\/neuraldesigner.com\/learning\/neural-networks-tutorial\/"},"modified":"2026-02-11T09:52:12","modified_gmt":"2026-02-11T08:52:12","slug":"neural-networks-tutorial","status":"publish","type":"learning","link":"https:\/\/www.neuraldesigner.com\/learning\/tutorials\/neural-networks-tutorial\/","title":{"rendered":"Neural Networks Tutorial: Architecture &#038; Learning"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"3537\" class=\"elementor elementor-3537\" data-elementor-post-type=\"learning\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-7ff679ff elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"7ff679ff\" 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-7be3cc8f\" data-id=\"7be3cc8f\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-42eada41 elementor-widget elementor-widget-text-editor\" data-id=\"42eada41\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<section><\/section><div id=\"contenido\" class=\"contenido\"><div id=\"sidebar\" class=\"sidebar\"><p>Index:<\/p><ul class=\"menu\"><li><a href=\"https:\/\/www.neuraldesigner.com\/learning\/tutorials\/neural-networks-applications\">1. Model types<\/a><\/li><li><a href=\"https:\/\/www.neuraldesigner.com\/learning\/tutorials\/data-set\">2. Data set <\/a><\/li><li><a href=\"https:\/\/www.neuraldesigner.com\/learning\/tutorials\/neural-network\">3. Neural network<\/a><\/li><li><a href=\"https:\/\/www.neuraldesigner.com\/learning\/tutorials\/training-strategy\">4. Training strategy<\/a><\/li><li><a href=\"https:\/\/www.neuraldesigner.com\/learning\/tutorials\/model-selection\">5. Model selection<\/a><\/li><li><a href=\"https:\/\/www.neuraldesigner.com\/learning\/tutorials\/testing-analysis\">6. Testing analysis<\/a><\/li><li><a href=\"https:\/\/www.neuraldesigner.com\/learning\/tutorials\/model-deployment\">7. Model deployment<\/a><\/li><\/ul><\/div><section><div>\u00a0<\/div><div>\u00a0<\/div><\/section><section><\/section><section><p data-start=\"146\" data-end=\"292\">In this neural networks tutorial, we introduce neural networks as the most important technique for <a href=\"https:\/\/www.ibm.com\/think\/topics\/machine-learning\">machine learning<\/a> and artificial intelligence.<\/p><p data-start=\"299\" data-end=\"405\" data-is-last-node=\"\">They are dramatically improving the state-of-the-art in energy, marketing, health, and many other domains.<\/p><\/section><section><img decoding=\"async\" class=\"aligncenter\" style=\"width: 382px; max-width: 100%;\" src=\"https:\/\/www.neuraldesigner.com\/images\/neural_network_graph.svg\" height=\"237\" \/>This tutorial describes the principal applications and concepts related to neural networks.<\/section><section><h2><a href=\"https:\/\/www.neuraldesigner.com\/learning\/tutorials\/neural-networks-applications\"><img decoding=\"async\" class=\"wp-image-1842 alignnone\" src=\"https:\/\/www.neuraldesigner.com\/wp-content\/uploads\/2023\/06\/neural_networks_applications.svg\" alt=\"\" width=\"50\" height=\"50\" srcset=\"https:\/\/www.neuraldesigner.com\/wp-content\/uploads\/2023\/06\/neural_networks_applications.svg 150w, https:\/\/www.neuraldesigner.com\/wp-content\/uploads\/2023\/06\/neural_networks_applications.svg 300w, https:\/\/www.neuraldesigner.com\/wp-content\/uploads\/2023\/06\/neural_networks_applications.svg 1024w, https:\/\/www.neuraldesigner.com\/wp-content\/uploads\/2023\/06\/neural_networks_applications.svg 1536w, https:\/\/www.neuraldesigner.com\/wp-content\/uploads\/2023\/06\/neural_networks_applications.svg 2048w, https:\/\/www.neuraldesigner.com\/wp-content\/uploads\/2023\/06\/neural_networks_applications.svg 100w, https:\/\/www.neuraldesigner.com\/wp-content\/uploads\/2023\/06\/neural_networks_applications.svg 24w\" sizes=\"(max-width: 50px) 100vw, 50px\" \/> 1. Model types<\/a><\/h2><p>The most common learning tasks for neural networks are approximation, classification, and forecasting.<\/p><\/section><section><img decoding=\"async\" class=\"small_left\" src=\"https:\/\/www.neuraldesigner.com\/images\/data_set.svg\" width=\"49\" height=\"49\" \/><h2><a href=\"https:\/\/www.neuraldesigner.com\/learning\/tutorials\/data-set\">2. Data set<\/a><\/h2><p>The data set contains the information available for creating the model.<\/p><\/section><section><img decoding=\"async\" class=\"small_left\" src=\"https:\/\/www.neuraldesigner.com\/images\/neural_network.svg\" width=\"46\" height=\"46\" \/><h2><a href=\"https:\/\/www.neuraldesigner.com\/learning\/tutorials\/neural-network\">3. Neural network<\/a><\/h2><p>The neural network represents the approximation or classification model.<\/p><\/section><section><img loading=\"lazy\" decoding=\"async\" class=\"small_left\" src=\"https:\/\/www.neuraldesigner.com\/images\/training_strategy.svg\" width=\"45\" height=\"45\" \/><h2><a href=\"https:\/\/www.neuraldesigner.com\/learning\/tutorials\/training-strategy\">4. Training strategy<\/a><\/h2><p>The training strategy fits the neural network with the data set.<\/p><\/section><section><img loading=\"lazy\" decoding=\"async\" class=\"small_left\" src=\"https:\/\/www.neuraldesigner.com\/images\/model_selection.svg\" width=\"45\" height=\"45\" \/><h2><a href=\"https:\/\/www.neuraldesigner.com\/learning\/tutorials\/model-selection\">5. Model selection<\/a><\/h2><p>Model selection algorithms look for the neural network architecture with the best generalization capabilities.<\/p><\/section><section><img loading=\"lazy\" decoding=\"async\" class=\"small_left\" src=\"https:\/\/www.neuraldesigner.com\/images\/testing_analysis.svg\" width=\"46\" height=\"46\" \/><h2><a href=\"https:\/\/www.neuraldesigner.com\/learning\/tutorials\/testing-analysis\">6. Testing analysis<\/a><\/h2><p>The testing analysis compares the outputs from the neural network against the targets in an independent set.<\/p><\/section><section><img loading=\"lazy\" decoding=\"async\" class=\"small_left\" src=\"https:\/\/www.neuraldesigner.com\/images\/model_deployment.svg\" width=\"49\" height=\"49\" \/><h2><a href=\"https:\/\/www.neuraldesigner.com\/learning\/tutorials\/model-deployment\">7. Model deployment<\/a><\/h2><p>Model deployment is used to apply a model to predict new data.<\/p><\/section><section>In the following pages, we describe each of these concepts in detail.<\/section><section><a class=\"button\" style=\"float: right;\" href=\"https:\/\/www.neuraldesigner.com\/learning\/tutorials\/neural-networks-applications\">\u00a0Model Types \u203a<\/a><\/section><\/div>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"author":122,"featured_media":2296,"template":"","categories":[30],"tags":[36],"class_list":["post-3537","learning","type-learning","status-publish","has-post-thumbnail","hentry","category-tutorials","tag-tutorials"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.4 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Neural Networks Tutorial: Architecture &amp; Learning<\/title>\n<meta name=\"description\" content=\"Comprehensive neural networks tutorial covering architecture, components, and learning process in machine learning models\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.neuraldesigner.com\/learning\/tutorials\/neural-networks-tutorial\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Neural Networks Tutorial: Architecture &amp; 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