{"id":17462,"date":"2024-04-15T05:13:44","date_gmt":"2024-04-15T05:13:44","guid":{"rendered":"https:\/\/exam.pscnotes.com\/mcq\/?p=17462"},"modified":"2024-04-15T05:13:44","modified_gmt":"2024-04-15T05:13:44","slug":"which-is-true-for-neural-networks-a-it-has-set-of-nodes-and-connections-b-each-node-computes-its-weighted-input-c-node-could-be-in-excited-state-or-non-excited-state-d-all-of-the-mentioned","status":"publish","type":"post","link":"https:\/\/exam.pscnotes.com\/mcq\/which-is-true-for-neural-networks-a-it-has-set-of-nodes-and-connections-b-each-node-computes-its-weighted-input-c-node-could-be-in-excited-state-or-non-excited-state-d-all-of-the-mentioned\/","title":{"rendered":"Which is true for neural networks? A. It has set of nodes and connections B. Each node computes it&#8217;s weighted input C. Node could be in excited state or non-excited state D. All of the mentioned"},"content":{"rendered":"<p>\r\n    <!-- Check if it's an AMP page -->\r\n            <!-- Non-AMP version -->\r\n        <div class=\"mcq-container\" data-quiz-id=\"quizState_6a9e2e99e7d4f\">\r\n                                            <div class=\"option\" data-option-key=\"option1\" data-is-correct=\"false\">\r\n                    It has set of nodes and connections                <\/div>\r\n                                            <div class=\"option\" data-option-key=\"option2\" data-is-correct=\"false\">\r\n                    Each node computes it&#039;s weighted input                <\/div>\r\n                                            <div class=\"option\" data-option-key=\"option3\" data-is-correct=\"false\">\r\n                    Node could be in excited state or non-excited state                <\/div>\r\n                                            <div class=\"option\" data-option-key=\"option4\" data-is-correct=\"true\">\r\n                    All of the mentioned                <\/div>\r\n                            \r\n            <!-- Feedback messages for non-AMP -->\r\n            <div class=\"feedback\" data-feedback=\"wrong\">Answer is Right!<\/div>\r\n            <div class=\"feedback\" data-feedback=\"right\">Answer is Wrong!<\/div>\r\n        <\/div>\r\n\r\n        <script>\r\n        document.addEventListener('DOMContentLoaded', function () {\r\n            var containers = document.querySelectorAll('.mcq-container');\r\n\r\n            containers.forEach(function(container) {\r\n                var options = container.querySelectorAll('.option');\r\n                var feedbackSelect = container.querySelector('[data-feedback=\"select\"]');\r\n                var feedbackWrong = container.querySelector('[data-feedback=\"wrong\"]');\r\n                var feedbackRight = container.querySelector('[data-feedback=\"right\"]');\r\n\r\n                options.forEach(function(option) {\r\n                    option.addEventListener('click', function() {\r\n                        var selectedOption = option.getAttribute('data-option-key');\r\n                        var isCorrect = option.getAttribute('data-is-correct') === 'true';\r\n\r\n                        \/\/ Remove previous selections\r\n                        options.forEach(function(opt) {\r\n                            opt.classList.remove('correct', 'incorrect');\r\n                        });\r\n\r\n                        \/\/ Add the correct\/incorrect class\r\n                        if (isCorrect) {\r\n                            option.classList.add('correct');\r\n                            feedbackRight.hidden = false;\r\n                            feedbackWrong.hidden = true;\r\n                        } else {\r\n                            option.classList.add('incorrect');\r\n                            feedbackRight.hidden = true;\r\n                            feedbackWrong.hidden = false;\r\n                        }\r\n\r\n                        \/\/ Hide select feedback\r\n                        feedbackSelect.hidden = true;\r\n                    });\r\n                });\r\n            });\r\n        });\r\n        <\/script>\r\n    \r\n    <!--more--><\/p>\n<p>The correct answer is D. All of the mentioned.<\/p>\n<p>A neural <div class=\"youtube-subscribe-container\">\r\n        <a href=\"https:\/\/www.youtube.com\/channel\/UCNHT8lW-JmLC68rjBfZhdkg?sub_confirmation=1\" target=\"_blank\" class=\"youtube-subscribe-button\">\r\n            <span class=\"youtube-icon\">\r\n                <svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 576 512\">\r\n                    <path d=\"M549.7 124.1c-6.3-23.7-24.8-42.3-48.3-48.6C458.8 64 288 64 288 64S117.2 64 74.6 75.5c-23.5 6.3-42 24.9-48.3 48.6-11.4 42.9-11.4 132.3-11.4 132.3s0 89.4 11.4 132.3c6.3 23.7 24.8 41.5 48.3 47.8C117.2 448 288 448 288 448s170.8 0 213.4-11.5c23.5-6.3 42-24.2 48.3-47.8 11.4-42.9 11.4-132.3 11.4-132.3s0-89.4-11.4-132.3zm-317.5 213.5V175.2l142.7 81.2-142.7 81.2z\"\/>\r\n                <\/svg>\r\n            <\/span>\r\n            Subscribe on YouTube\r\n        <\/a>\r\n    <\/div> network is a type of machine learning algorithm that is inspired by the human brain. It consists of a set of nodes, also called neurons, that are connected to each other. Each node computes its weighted input, which <div class=\"telegram-channel-container\">\r\n        <a href=\"https:\/\/t.me\/pscnotes2025\" target=\"_blank\" class=\"telegram-channel-button\">\r\n            <span class=\"telegram-icon\">\r\n                <svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 496 512\">\r\n                    <path fill=\"white\" d=\"M248,8C111,8,0,119,0,256s111,248,248,248s248-111,248-248S385,8,248,8z M362,177L320,367c-3,14-10,18-20,14l-56-41l-27,26 c-3,3-5,5-10,5l4-63L323,196c5-5-1-7-8-3l-98,62l-42-13c-9-3-10-9,2-14l162-63C351,160,365,164,362,177z\"\/>\r\n                <\/svg>\r\n            <\/span>\r\n            Join Our Telegram Channel\r\n        <\/a>\r\n    <\/div> is the sum of the inputs multiplied by their corresponding weights. The node then outputs a value based on its activation function. The activation function determines whether the node will be in an excited state or a non-excited state. The excited state is represented by a value of 1, and the non-excited state is represented by a value of 0. The output of each node is then used as an input to the next node in the network. This process continues until the output node is reached. The output node produces the final prediction of the neural network.<\/p>\n<p>Neural networks are a powerful tool that can be used to solve a variety of problems. They are often used in image recognition, natural language processing, and machine translation. Neural networks are also used in many other areas, such as finance, healthcare, and manufacturing.<\/p>\n<p>Here is a brief explanation of each option:<\/p>\n<ul>\n<li>Option A: Neural networks have a set of nodes and connections. The nodes are also called neurons, and they are connected to each other by links. The links are called synapses, and they carry information between the neurons.<\/li>\n<li>Option B: Each node computes its weighted input. The weighted input is the sum of the inputs multiplied by their corresponding weights. The weights are learned during the training process.<\/li>\n<li>Option C: Node could be in excited state or non-excited state. The excited state is represented by a value of 1, and the non-excited state is represented by a value of 0. The activation function determines whether the node will be in an excited state or a non-excited state.<\/li>\n<\/ul>\n<p>I hope this explanation is helpful. Please let me know if you have any other questions.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Join Our Telegram Channel Subscribe on YouTube<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[676],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v22.2 (Yoast SEO v23.3) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Which is true for neural networks? A. It has set of nodes and connections B. Each node computes it&#039;s weighted input C. Node could be in excited state or non-excited state D. All of the mentioned<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/exam.pscnotes.com\/mcq\/which-is-true-for-neural-networks-a-it-has-set-of-nodes-and-connections-b-each-node-computes-its-weighted-input-c-node-could-be-in-excited-state-or-non-excited-state-d-all-of-the-mentioned\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Which is true for neural networks? A. It has set of nodes and connections B. Each node computes it&#039;s weighted input C. Node could be in excited state or non-excited state D. All of the mentioned\" \/>\n<meta property=\"og:description\" content=\"Join Our Telegram Channel Subscribe on YouTube\" \/>\n<meta property=\"og:url\" content=\"https:\/\/exam.pscnotes.com\/mcq\/which-is-true-for-neural-networks-a-it-has-set-of-nodes-and-connections-b-each-node-computes-its-weighted-input-c-node-could-be-in-excited-state-or-non-excited-state-d-all-of-the-mentioned\/\" \/>\n<meta property=\"og:site_name\" content=\"MCQ and Quiz for Exams\" \/>\n<meta property=\"article:published_time\" content=\"2024-04-15T05:13:44+00:00\" \/>\n<meta name=\"author\" content=\"rawan239\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"rawan239\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"2 minutes\" \/>\n<!-- \/ Yoast SEO Premium plugin. -->","yoast_head_json":{"title":"Which is true for neural networks? A. It has set of nodes and connections B. Each node computes it's weighted input C. Node could be in excited state or non-excited state D. All of the mentioned","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/exam.pscnotes.com\/mcq\/which-is-true-for-neural-networks-a-it-has-set-of-nodes-and-connections-b-each-node-computes-its-weighted-input-c-node-could-be-in-excited-state-or-non-excited-state-d-all-of-the-mentioned\/","og_locale":"en_US","og_type":"article","og_title":"Which is true for neural networks? A. It has set of nodes and connections B. Each node computes it's weighted input C. Node could be in excited state or non-excited state D. All of the mentioned","og_description":"Join Our Telegram Channel Subscribe on YouTube","og_url":"https:\/\/exam.pscnotes.com\/mcq\/which-is-true-for-neural-networks-a-it-has-set-of-nodes-and-connections-b-each-node-computes-its-weighted-input-c-node-could-be-in-excited-state-or-non-excited-state-d-all-of-the-mentioned\/","og_site_name":"MCQ and Quiz for Exams","article_published_time":"2024-04-15T05:13:44+00:00","author":"rawan239","twitter_card":"summary_large_image","twitter_misc":{"Written by":"rawan239","Est. reading time":"2 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/exam.pscnotes.com\/mcq\/which-is-true-for-neural-networks-a-it-has-set-of-nodes-and-connections-b-each-node-computes-its-weighted-input-c-node-could-be-in-excited-state-or-non-excited-state-d-all-of-the-mentioned\/","url":"https:\/\/exam.pscnotes.com\/mcq\/which-is-true-for-neural-networks-a-it-has-set-of-nodes-and-connections-b-each-node-computes-its-weighted-input-c-node-could-be-in-excited-state-or-non-excited-state-d-all-of-the-mentioned\/","name":"Which is true for neural networks? A. It has set of nodes and connections B. Each node computes it's weighted input C. Node could be in excited state or non-excited state D. All of the mentioned","isPartOf":{"@id":"https:\/\/exam.pscnotes.com\/mcq\/#website"},"datePublished":"2024-04-15T05:13:44+00:00","dateModified":"2024-04-15T05:13:44+00:00","author":{"@id":"https:\/\/exam.pscnotes.com\/mcq\/#\/schema\/person\/5807dafeb27d2ec82344d6cbd6c3d209"},"breadcrumb":{"@id":"https:\/\/exam.pscnotes.com\/mcq\/which-is-true-for-neural-networks-a-it-has-set-of-nodes-and-connections-b-each-node-computes-its-weighted-input-c-node-could-be-in-excited-state-or-non-excited-state-d-all-of-the-mentioned\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/exam.pscnotes.com\/mcq\/which-is-true-for-neural-networks-a-it-has-set-of-nodes-and-connections-b-each-node-computes-its-weighted-input-c-node-could-be-in-excited-state-or-non-excited-state-d-all-of-the-mentioned\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/exam.pscnotes.com\/mcq\/which-is-true-for-neural-networks-a-it-has-set-of-nodes-and-connections-b-each-node-computes-its-weighted-input-c-node-could-be-in-excited-state-or-non-excited-state-d-all-of-the-mentioned\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/exam.pscnotes.com\/mcq\/"},{"@type":"ListItem","position":2,"name":"mcq","item":"https:\/\/exam.pscnotes.com\/mcq\/category\/mcq\/"},{"@type":"ListItem","position":3,"name":"Artificial intelligence","item":"https:\/\/exam.pscnotes.com\/mcq\/category\/mcq\/artificial-intelligence\/"},{"@type":"ListItem","position":4,"name":"Which is true for neural networks? A. It has set of nodes and connections B. Each node computes it&#8217;s weighted input C. Node could be in excited state or non-excited state D. All of the mentioned"}]},{"@type":"WebSite","@id":"https:\/\/exam.pscnotes.com\/mcq\/#website","url":"https:\/\/exam.pscnotes.com\/mcq\/","name":"MCQ and Quiz for Exams","description":"","potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/exam.pscnotes.com\/mcq\/?s={search_term_string}"},"query-input":"required name=search_term_string"}],"inLanguage":"en-US"},{"@type":"Person","@id":"https:\/\/exam.pscnotes.com\/mcq\/#\/schema\/person\/5807dafeb27d2ec82344d6cbd6c3d209","name":"rawan239","image":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/exam.pscnotes.com\/mcq\/#\/schema\/person\/image\/","url":"https:\/\/secure.gravatar.com\/avatar\/d97f17072bfa490596c8f78363955d55?s=96&d=mm&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/d97f17072bfa490596c8f78363955d55?s=96&d=mm&r=g","caption":"rawan239"},"sameAs":["https:\/\/exam.pscnotes.com"],"url":"https:\/\/exam.pscnotes.com\/mcq\/author\/rawan239\/"}]}},"amp_enabled":true,"_links":{"self":[{"href":"https:\/\/exam.pscnotes.com\/mcq\/wp-json\/wp\/v2\/posts\/17462"}],"collection":[{"href":"https:\/\/exam.pscnotes.com\/mcq\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/exam.pscnotes.com\/mcq\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/exam.pscnotes.com\/mcq\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/exam.pscnotes.com\/mcq\/wp-json\/wp\/v2\/comments?post=17462"}],"version-history":[{"count":0,"href":"https:\/\/exam.pscnotes.com\/mcq\/wp-json\/wp\/v2\/posts\/17462\/revisions"}],"wp:attachment":[{"href":"https:\/\/exam.pscnotes.com\/mcq\/wp-json\/wp\/v2\/media?parent=17462"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/exam.pscnotes.com\/mcq\/wp-json\/wp\/v2\/categories?post=17462"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/exam.pscnotes.com\/mcq\/wp-json\/wp\/v2\/tags?post=17462"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}