{"id":8784,"date":"2026-05-29T14:11:54","date_gmt":"2026-05-29T12:11:54","guid":{"rendered":"https:\/\/mybox.com\/help\/?post_type=manual_kb&#038;p=8784"},"modified":"2026-06-09T05:10:41","modified_gmt":"2026-06-09T03:10:41","slug":"cum-functioneaza-retelele-neuronale-artificiale-demistificarea-invatarii-profunde","status":"publish","type":"manual_kb","link":"https:\/\/mybox.com\/help\/ro\/knowledgebase\/how-artificial-neural-networks-work-demystifying-deep-learning\/","title":{"rendered":"Cum func\u021bioneaz\u0103 re\u021belele neuronale artificiale: Demistificarea \u00eenv\u0103\u021b\u0103rii profunde"},"content":{"rendered":"<div class=\"translation-block translation-block-merged\">\n<p class=\"wp-block-paragraph\">Neural networks are machine learning models inspired by the way biological neurons process information. They are designed to identify patterns, learn from data, and make predictions or decisions based on what they have learned.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Neural networks are used in a wide range of applications, including image recognition, natural language processing, recommendation systems, speech recognition, and autonomous systems.<\/p>\n\n\n\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_86 ez-toc-wrap-left counter-hierarchy ez-toc-counter ez-toc-custom ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">Table of Contents<\/p>\n<span class=\"ez-toc-title-toggle\"><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/mybox.com\/help\/ro\/knowledgebase\/how-artificial-neural-networks-work-demystifying-deep-learning\/#What_Is_a_Neural_Network\" >What Is a Neural Network?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/mybox.com\/help\/ro\/knowledgebase\/how-artificial-neural-networks-work-demystifying-deep-learning\/#How_a_Neuron_Works\" >How a Neuron Works<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/mybox.com\/help\/ro\/knowledgebase\/how-artificial-neural-networks-work-demystifying-deep-learning\/#Neural_Network_Architecture\" >Neural Network Architecture<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/mybox.com\/help\/ro\/knowledgebase\/how-artificial-neural-networks-work-demystifying-deep-learning\/#Input_Layer\" >Input Layer<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/mybox.com\/help\/ro\/knowledgebase\/how-artificial-neural-networks-work-demystifying-deep-learning\/#Hidden_Layers\" >Hidden Layers<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/mybox.com\/help\/ro\/knowledgebase\/how-artificial-neural-networks-work-demystifying-deep-learning\/#Output_Layer\" >Output Layer<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/mybox.com\/help\/ro\/knowledgebase\/how-artificial-neural-networks-work-demystifying-deep-learning\/#Forward_Propagation\" >Forward Propagation<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/mybox.com\/help\/ro\/knowledgebase\/how-artificial-neural-networks-work-demystifying-deep-learning\/#Activation_Functions\" >Activation Functions<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-9\" href=\"https:\/\/mybox.com\/help\/ro\/knowledgebase\/how-artificial-neural-networks-work-demystifying-deep-learning\/#Sigmoid\" >Sigmoid<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-10\" href=\"https:\/\/mybox.com\/help\/ro\/knowledgebase\/how-artificial-neural-networks-work-demystifying-deep-learning\/#ReLU_Rectified_Linear_Unit\" >ReLU (Rectified Linear Unit)<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-11\" href=\"https:\/\/mybox.com\/help\/ro\/knowledgebase\/how-artificial-neural-networks-work-demystifying-deep-learning\/#Tanh\" >Tanh<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-12\" href=\"https:\/\/mybox.com\/help\/ro\/knowledgebase\/how-artificial-neural-networks-work-demystifying-deep-learning\/#Training_a_Neural_Network\" >Training a Neural Network<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-13\" href=\"https:\/\/mybox.com\/help\/ro\/knowledgebase\/how-artificial-neural-networks-work-demystifying-deep-learning\/#Backpropagation_and_Optimization\" >Backpropagation and Optimization<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-14\" href=\"https:\/\/mybox.com\/help\/ro\/knowledgebase\/how-artificial-neural-networks-work-demystifying-deep-learning\/#Overfitting_and_Generalization\" >Overfitting and Generalization<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-15\" href=\"https:\/\/mybox.com\/help\/ro\/knowledgebase\/how-artificial-neural-networks-work-demystifying-deep-learning\/#Common_Applications_of_Neural_Networks\" >Common Applications of Neural Networks<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-16\" href=\"https:\/\/mybox.com\/help\/ro\/knowledgebase\/how-artificial-neural-networks-work-demystifying-deep-learning\/#Image_Recognition\" >Image Recognition<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-17\" href=\"https:\/\/mybox.com\/help\/ro\/knowledgebase\/how-artificial-neural-networks-work-demystifying-deep-learning\/#Natural_Language_Processing\" >Natural Language Processing<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-18\" href=\"https:\/\/mybox.com\/help\/ro\/knowledgebase\/how-artificial-neural-networks-work-demystifying-deep-learning\/#Speech_Recognition\" >Speech Recognition<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-19\" href=\"https:\/\/mybox.com\/help\/ro\/knowledgebase\/how-artificial-neural-networks-work-demystifying-deep-learning\/#Recommendation_Systems\" >Recommendation Systems<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-20\" href=\"https:\/\/mybox.com\/help\/ro\/knowledgebase\/how-artificial-neural-networks-work-demystifying-deep-learning\/#Autonomous_Systems\" >Autonomous Systems<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-21\" href=\"https:\/\/mybox.com\/help\/ro\/knowledgebase\/how-artificial-neural-networks-work-demystifying-deep-learning\/#Practical_Implications\" >Practical Implications<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-22\" href=\"https:\/\/mybox.com\/help\/ro\/knowledgebase\/how-artificial-neural-networks-work-demystifying-deep-learning\/#Summary\" >Summary<\/a><\/li><\/ul><\/nav><\/div>\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"What_Is_a_Neural_Network\"><\/span>What Is a Neural Network?<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<\/div>\n\n<div id=\"mybox-2063538528\" class=\"mybox-content mybox-entity-placement\"><div class=\"early-access-banner-inpost\">\r\n  <div class=\"banner-left-inpost\">\r\n    <div class=\"icon-box-inpost\">\r\n      <img decoding=\"async\" src=\"https:\/\/mybox.com\/help\/wp-content\/uploads\/2026\/02\/square-info-icon.svg\" alt=\"Info\">\r\n    <\/div>\r\n    <div class=\"text-box-inpost\">\r\n      <span class=\"label-inpost\"><span class=\"translation-block translation-block-banner-text\">Acces timpuriu<\/span><\/span>\r\n      <h4><span class=\"translation-block translation-block-banner-text\">Mai ave\u021bi nevoie de ajutor?<\/span><\/h4>\r\n      <p><span class=\"translation-block translation-block-banner-text\">Contacta\u021bi echipa noastr\u0103 de servicii pentru clien\u021bi.<\/span><\/p>\r\n    <\/div>\r\n  <\/div>\r\n\r\n  <div class=\"banner-right-inpost\">\r\n    <a href=\"https:\/\/panel.mybox.com\/helpdesk2\/v\/list\/\" class=\"banner-button-inpost\"><span class=\"translation-block translation-block-banner-text\">Trimite mesaj<\/span><\/a>\r\n  <\/div>\r\n<\/div><\/div>\n\n<div class=\"translation-block translation-block-merged\"><p class=\"wp-block-paragraph\">A neural network is a collection of interconnected processing units called neurons. These neurons work together to transform input data into useful outputs.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">A neural network typically consists of:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>An input layer<\/li>\n\n\n\n<li>One or more hidden layers<\/li>\n\n\n\n<li>An output layer<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Each layer processes information and passes it to the next layer until a final result is produced.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"How_a_Neuron_Works\"><\/span>How a Neuron Works<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">A neuron is the basic building block of a neural network.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Each neuron:<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>Receives one or more inputs.<\/li>\n\n\n\n<li>Multiplies each input by a weight.<\/li>\n\n\n\n<li>Sums the weighted values.<\/li>\n\n\n\n<li>Applies an activation function.<\/li>\n\n\n\n<li>Produces an output.<\/li>\n<\/ol>\n\n\n\n<p class=\"wp-block-paragraph\">The weights determine the importance of each input and are adjusted during training.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Neural_Network_Architecture\"><\/span>Neural Network Architecture<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Neurons are organized into layers.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Input_Layer\"><\/span>Input Layer<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">The input layer receives the original data.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Examples include:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Pixel values from an image<\/li>\n\n\n\n<li>Words from a text document<\/li>\n\n\n\n<li>Sensor measurements<\/li>\n\n\n\n<li>Audio signals<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">The input layer passes this information to the hidden layers.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Hidden_Layers\"><\/span>Hidden Layers<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Hidden layers perform most of the computation.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">These layers identify patterns, relationships, and features within the data.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">For example, in image recognition:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Early layers may detect edges.<\/li>\n\n\n\n<li>Middle layers may detect shapes.<\/li>\n\n\n\n<li>Deeper layers may recognize complete objects.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Modern neural networks can contain dozens or even hundreds of hidden layers.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Output_Layer\"><\/span>Output Layer<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">The output layer generates the final prediction.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Examples include:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Identifying an object in an image<\/li>\n\n\n\n<li>Predicting a stock market trend<\/li>\n\n\n\n<li>Translating text<\/li>\n\n\n\n<li>Classifying an email as spam or legitimate<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">The output format depends on the task being performed.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Forward_Propagation\"><\/span>Forward Propagation<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Forward propagation is the process of passing information through the network.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The process follows these steps:<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>Input data enters the network.<\/li>\n\n\n\n<li>Each layer performs calculations.<\/li>\n\n\n\n<li>Information moves through hidden layers.<\/li>\n\n\n\n<li>The output layer generates a prediction.<\/li>\n<\/ol>\n\n\n\n<p class=\"wp-block-paragraph\">This is how a neural network produces results after training.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Activation_Functions\"><\/span>Activation Functions<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Activation functions determine how neurons respond to information.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Without activation functions, neural networks would be limited to simple linear calculations.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Common activation functions include:<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Sigmoid\"><\/span>Sigmoid<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">The sigmoid function produces values between 0 and 1.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">It is often used in probability-related outputs.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"ReLU_Rectified_Linear_Unit\"><\/span>ReLU (Rectified Linear Unit)<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">ReLU outputs either:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Zero for negative values<\/li>\n\n\n\n<li>The original value for positive values<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">It is one of the most commonly used activation functions in modern neural networks.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Tanh\"><\/span>Tanh<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">The hyperbolic tangent function produces values between -1 and 1.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">It is useful in some deep learning applications where both positive and negative outputs are important.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Training_a_Neural_Network\"><\/span>Training a Neural Network<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">A neural network becomes useful only after training.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Training involves repeatedly presenting data to the network and adjusting its weights to improve prediction accuracy.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The process generally includes:<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>Providing training data.<\/li>\n\n\n\n<li>Generating predictions.<\/li>\n\n\n\n<li>Comparing predictions with the correct answers.<\/li>\n\n\n\n<li>Measuring the error.<\/li>\n\n\n\n<li>Adjusting weights to reduce the error.<\/li>\n<\/ol>\n\n\n\n<p class=\"wp-block-paragraph\">This cycle is repeated many times until the model achieves acceptable performance.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Backpropagation_and_Optimization\"><\/span>Backpropagation and Optimization<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Backpropagation is the mechanism used to update network weights.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The algorithm works backward through the network, calculating how much each connection contributed to the prediction error.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Optimization algorithms then adjust the weights.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Common optimization methods include:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Stochastic Gradient Descent (SGD)<\/li>\n\n\n\n<li>Adam<\/li>\n\n\n\n<li>RMSprop<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">These techniques help the network learn more efficiently.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Overfitting_and_Generalization\"><\/span>Overfitting and Generalization<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">One challenge in machine learning is overfitting.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Overfitting occurs when a neural network learns the training data too precisely and performs poorly on new, unseen data.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">To improve generalization, developers may use:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Larger datasets<\/li>\n\n\n\n<li>Regularization techniques<\/li>\n\n\n\n<li>Dropout layers<\/li>\n\n\n\n<li>Validation datasets<\/li>\n\n\n\n<li>Early stopping<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">The goal is to create a model that performs well beyond the examples it was trained on.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Common_Applications_of_Neural_Networks\"><\/span>Common Applications of Neural Networks<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Neural networks are used across many industries and technologies.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Examples include:<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Image_Recognition\"><\/span>Image Recognition<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Neural networks can identify objects, faces, vehicles, animals, and other visual elements in images.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Natural_Language_Processing\"><\/span>Natural Language Processing<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">They are used to understand, classify, summarize, and generate text.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Speech_Recognition\"><\/span>Speech Recognition<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Neural networks power voice assistants, transcription systems, and speech-to-text applications.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Recommendation_Systems\"><\/span>Recommendation Systems<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Streaming platforms, online stores, and social networks use neural networks to recommend content and products.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Autonomous_Systems\"><\/span>Autonomous Systems<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Neural networks help process information from cameras, sensors, and other devices used in automated systems.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Practical_Implications\"><\/span>Practical Implications<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Neural networks can discover patterns that are difficult or impossible to define using traditional programming rules. Instead of explicitly telling a computer how to solve a problem, developers provide examples and allow the model to learn from the data.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This approach has enabled major advances in fields such as artificial intelligence, computer vision, language processing, and predictive analytics.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">However, neural networks require significant computational resources, high-quality training data, and careful tuning to achieve reliable results.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Summary\"><\/span>Summary<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Neural networks are machine learning models composed of interconnected neurons organized into layers. They learn by adjusting connection weights based on training data and use activation functions to process information.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Through forward propagation, backpropagation, and iterative training, neural networks can recognize patterns, make predictions, and solve complex problems. Their ability to learn from data has made them one of the most important technologies in modern artificial intelligence.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n<\/div>","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"template":"","format":"standard","manualknowledgebasecat":[42],"manual_kb_tag":[250,5712,6680,6684,6685,6686,6687,6688,6689,6690],"class_list":["post-8784","manual_kb","type-manual_kb","status-publish","format-standard","hentry","manualknowledgebasecat-miscellaneous","manual_kb_tag-machine-learning","manual_kb_tag-artificial-intelligence","manual_kb_tag-sigmoid-function","manual_kb_tag-neural-networks","manual_kb_tag-deep-learning","manual_kb_tag-artificial-neural-networks","manual_kb_tag-neural-network-architecture","manual_kb_tag-artificial-neuron","manual_kb_tag-activation-functions","manual_kb_tag-rectified-linear-unit"],"_links":{"self":[{"href":"https:\/\/mybox.com\/help\/ro\/wp-json\/wp\/v2\/manual_kb\/8784","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/mybox.com\/help\/ro\/wp-json\/wp\/v2\/manual_kb"}],"about":[{"href":"https:\/\/mybox.com\/help\/ro\/wp-json\/wp\/v2\/types\/manual_kb"}],"author":[{"embeddable":true,"href":"https:\/\/mybox.com\/help\/ro\/wp-json\/wp\/v2\/users\/1"}],"version-history":[{"count":5,"href":"https:\/\/mybox.com\/help\/ro\/wp-json\/wp\/v2\/manual_kb\/8784\/revisions"}],"predecessor-version":[{"id":8785,"href":"https:\/\/mybox.com\/help\/ro\/wp-json\/wp\/v2\/manual_kb\/8784\/revisions\/8785"}],"wp:attachment":[{"href":"https:\/\/mybox.com\/help\/ro\/wp-json\/wp\/v2\/media?parent=8784"}],"wp:term":[{"taxonomy":"manualknowledgebasecat","embeddable":true,"href":"https:\/\/mybox.com\/help\/ro\/wp-json\/wp\/v2\/manualknowledgebasecat?post=8784"},{"taxonomy":"manual_kb_tag","embeddable":true,"href":"https:\/\/mybox.com\/help\/ro\/wp-json\/wp\/v2\/manual_kb_tag?post=8784"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}