{"id":2,"date":"2023-07-27T14:35:14","date_gmt":"2023-07-27T14:35:14","guid":{"rendered":"https:\/\/projects.vrac.iastate.edu\/6dnet\/?page_id=2"},"modified":"2025-12-31T15:30:46","modified_gmt":"2025-12-31T21:30:46","slug":"sample-page","status":"publish","type":"page","link":"https:\/\/projects.vrac.iastate.edu\/6dnet\/","title":{"rendered":"Home"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"2\" class=\"elementor elementor-2\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-2d8ec98 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"2d8ec98\" data-element_type=\"section\" data-e-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-c244ae6\" data-id=\"c244ae6\" data-element_type=\"column\" data-e-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-c17a476 elementor-widget elementor-widget-heading\" data-id=\"c17a476\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h1 class=\"elementor-heading-title elementor-size-default\">6DNet - A Neural Network Simulator<\/h1>\t\t\t\t<\/div>\n\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<section class=\"elementor-section elementor-top-section elementor-element elementor-element-a1b7ae6 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"a1b7ae6\" data-element_type=\"section\" data-e-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-d729fe8\" data-id=\"d729fe8\" data-element_type=\"column\" data-e-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-77e229a elementor-widget elementor-widget-text-editor\" data-id=\"77e229a\" data-element_type=\"widget\" data-e-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\t\t<p>6DNet is an educational game which is useful for und<span style=\"color: var( --e-global-color-text ); font-family: var( --e-global-typography-text-font-family ), Sans-serif; font-weight: var( --e-global-typography-text-font-weight ); font-size: 1em;\">erstanding how neural networks and backpropogation work. In order for a neural network to minimize the difference between the expected output and the actual output, it can adjust the weights (represented by the sliders in the game) to achieve the lowest possible error. As you&#8217;ll find, some methods of combining the weights allow for lower error than others.<\/span><\/p><p><span style=\"color: var( --e-global-color-text ); font-family: var( --e-global-typography-text-font-family ), Sans-serif; font-size: 1em;\"><span style=\"font-weight: var( --e-global-typography-text-font-weight );\">This specific network models the exclusive-or, also known as the &#8220;XOR&#8221;, network. The two inputs can either be 1 or 0, meaning there are four possible combinations. To achieve a perfect output (in this case, a 1) from the network, only one of the inputs can be a 1.\u00a0<\/span><\/span><\/p><p><b>Instructions:<\/b><\/p><p>Use the colors on each plane or the colored arrows alongside each slider to navigate the weights towards values which give a lower error. You can select a different weighting method to see the minimum error for each method. If you&#8217;d like to automatically solve the network, use the &#8220;auto solve&#8221; function.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\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<section class=\"elementor-section elementor-top-section elementor-element elementor-element-7c2ed32 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"7c2ed32\" data-element_type=\"section\" data-e-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-55ac024\" data-id=\"55ac024\" data-element_type=\"column\" data-e-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-4a68027 elementor-widget elementor-widget-html\" data-id=\"4a68027\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<iframe id=\"\" src=\"https:\/\/projects.vrac.iastate.edu\/6dnet\/files\/6DNet_Unity_WebGLBuild\/index.html\" name=\"\" width=\"1280\" height=\"720\" frameborder=\"0\" marginheight=\"0\" scrolling=\"no\"><\/iframe>\t\t\t\t<\/div>\n\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<section class=\"elementor-section elementor-top-section elementor-element elementor-element-5cfd0b8 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"5cfd0b8\" data-element_type=\"section\" data-e-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-7621fe8\" data-id=\"7621fe8\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\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},"excerpt":{"rendered":"<p>6DNet &#8211; A Neural Network Simulator 6DNet is an educational game which is useful for understanding how neural networks and backpropogation work. In order for a neural network to minimize the difference between the expected output and the actual output, it can adjust the weights (represented by the sliders in the game) to achieve the [&hellip;]<\/p>\n","protected":false},"author":22,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-2","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/projects.vrac.iastate.edu\/6dnet\/wp-json\/wp\/v2\/pages\/2","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/projects.vrac.iastate.edu\/6dnet\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/projects.vrac.iastate.edu\/6dnet\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/projects.vrac.iastate.edu\/6dnet\/wp-json\/wp\/v2\/users\/22"}],"replies":[{"embeddable":true,"href":"https:\/\/projects.vrac.iastate.edu\/6dnet\/wp-json\/wp\/v2\/comments?post=2"}],"version-history":[{"count":14,"href":"https:\/\/projects.vrac.iastate.edu\/6dnet\/wp-json\/wp\/v2\/pages\/2\/revisions"}],"predecessor-version":[{"id":57,"href":"https:\/\/projects.vrac.iastate.edu\/6dnet\/wp-json\/wp\/v2\/pages\/2\/revisions\/57"}],"wp:attachment":[{"href":"https:\/\/projects.vrac.iastate.edu\/6dnet\/wp-json\/wp\/v2\/media?parent=2"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}