{"id":3544,"date":"2025-11-26T14:18:07","date_gmt":"2025-11-26T13:18:07","guid":{"rendered":"https:\/\/neuraldesigner.com\/learning\/technical-features\/"},"modified":"2026-02-09T12:53:44","modified_gmt":"2026-02-09T11:53:44","slug":"technical-features","status":"publish","type":"learning","link":"https:\/\/www.neuraldesigner.com\/learning\/user-guide\/technical-features\/","title":{"rendered":"Neural Designer technical features"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"3544\" class=\"elementor elementor-3544\" data-elementor-post-type=\"learning\">\n\t\t\t\t<div class=\"elementor-element elementor-element-858c0b1 e-flex e-con-boxed e-con e-parent\" data-id=\"858c0b1\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-17a1c18 elementor-widget elementor-widget-text-editor\" data-id=\"17a1c18\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"color: var( --e-global-color-text ); font-family: var( --e-global-typography-text-font-family ), Sans-serif; font-size: var( --e-global-typography-text-font-size ); font-weight: var( --e-global-typography-text-font-weight );\">Neural Designer implements the most innovative artificial intelligence techniques.<\/span><\/p><p>Some of the main algorithms it contains are listed below.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a20c725 elementor-position-left elementor-view-default elementor-mobile-position-top elementor-widget elementor-widget-icon-box\" data-id=\"a20c725\" data-element_type=\"widget\" data-widget_type=\"icon-box.default\">\n\t\t\t\t\t\t\t<div class=\"elementor-icon-box-wrapper\">\n\n\t\t\t\t\t\t<div class=\"elementor-icon-box-icon\">\n\t\t\t\t<span  class=\"elementor-icon\">\n\t\t\t\t<svg xmlns:dc=\"http:\/\/purl.org\/dc\/elements\/1.1\/\" xmlns:cc=\"http:\/\/creativecommons.org\/ns#\" xmlns:rdf=\"http:\/\/www.w3.org\/1999\/02\/22-rdf-syntax-ns#\" xmlns:svg=\"http:\/\/www.w3.org\/2000\/svg\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" xmlns:sodipodi=\"http:\/\/sodipodi.sourceforge.net\/DTD\/sodipodi-0.dtd\" xmlns:inkscape=\"http:\/\/www.inkscape.org\/namespaces\/inkscape\" width=\"24\" height=\"24\" viewBox=\"0 0 24 24\" id=\"svg6\" sodipodi:docname=\"neural_networks_applications.svg\" inkscape:version=\"0.92.1 r15371\"><metadata><\/metadata><defs id=\"defs10\"><\/defs><path fill=\"none\" d=\"M0 0h24v24H0V0z\" id=\"path2\"><\/path><path d=\"M4 8h4V4H4v4zm6 12h4v-4h-4v4zm-6 0h4v-4H4v4zm0-6h4v-4H4v4zm6 0h4v-4h-4v4zm6-10v4h4V4h-4zm-6 4h4V4h-4v4zm6 6h4v-4h-4v4zm0 6h4v-4h-4v4z\" id=\"path4\" style=\"fill:#333333\"><\/path><\/svg>\t\t\t\t<\/span>\n\t\t\t<\/div>\n\t\t\t\n\t\t\t\t\t\t<div class=\"elementor-icon-box-content\">\n\n\t\t\t\t\t\t\t\t\t<h3 class=\"elementor-icon-box-title\">\n\t\t\t\t\t\t<span  >\n\t\t\t\t\t\t\tAplication types\t\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/h3>\n\t\t\t\t\n\t\t\t\t\n\t\t\t<\/div>\n\t\t\t\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-64aa884 elementor-widget__width-inherit elementor-widget elementor-widget-text-editor\" data-id=\"64aa884\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<ul><li style=\"text-align: left;\"><a href=\"https:\/\/www.neuraldesigner.com\/learning\/tutorials\/neural-networks-applications#Approximation\">Approximation<\/a> (or modeling) to discover intricate relationships.<\/li><li style=\"text-align: left;\"><a href=\"https:\/\/www.neuraldesigner.com\/learning\/tutorials\/neural-networks-applications#Classification\">Classification<\/a> (or pattern recognition) to recognize complex patterns.<\/li><li style=\"text-align: left;\"><a href=\"https:\/\/www.neuraldesigner.com\/learning\/tutorials\/neural-networks-applications#Forecasting\">Forecasting<\/a> (or time series prediction) to predict trends.<\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d5c6a41 elementor-position-left elementor-view-default elementor-mobile-position-top elementor-widget elementor-widget-icon-box\" data-id=\"d5c6a41\" data-element_type=\"widget\" data-widget_type=\"icon-box.default\">\n\t\t\t\t\t\t\t<div class=\"elementor-icon-box-wrapper\">\n\n\t\t\t\t\t\t<div class=\"elementor-icon-box-icon\">\n\t\t\t\t<span  class=\"elementor-icon\">\n\t\t\t\t<svg xmlns:dc=\"http:\/\/purl.org\/dc\/elements\/1.1\/\" xmlns:cc=\"http:\/\/creativecommons.org\/ns#\" xmlns:rdf=\"http:\/\/www.w3.org\/1999\/02\/22-rdf-syntax-ns#\" xmlns:svg=\"http:\/\/www.w3.org\/2000\/svg\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" xmlns:sodipodi=\"http:\/\/sodipodi.sourceforge.net\/DTD\/sodipodi-0.dtd\" xmlns:inkscape=\"http:\/\/www.inkscape.org\/namespaces\/inkscape\" x=\"0px\" y=\"0px\" width=\"24px\" height=\"24px\" viewBox=\"0 0 24 24\" xml:space=\"preserve\" id=\"svg10\" sodipodi:docname=\"data_set.svg\" inkscape:version=\"0.92.2 (5c3e80d, 2017-08-06)\"><metadata><\/metadata><defs id=\"defs14\"><\/defs><g id=\"Bounding_Boxes\" display=\"none\"><g id=\"ui_x5F_spec_x5F_header_copy_3\" display=\"inline\"><\/g><path display=\"inline\" fill=\"none\" d=\"M0,0h24v24H0V0z\" id=\"path3\"><\/path><\/g><g id=\"Sharp\"><g id=\"ui_x5F_spec_x5F_header_copy_4\"><\/g><path d=\"M10,10.02h5V21h-5V10.02z M17,21h5V10h-5V21z M22,3H3v5h19V3z M3,21h5V10H3V21z\" id=\"path7\" style=\"fill:#fa7b17\"><\/path><\/g><\/svg>\t\t\t\t<\/span>\n\t\t\t<\/div>\n\t\t\t\n\t\t\t\t\t\t<div class=\"elementor-icon-box-content\">\n\n\t\t\t\t\t\t\t\t\t<h3 class=\"elementor-icon-box-title\">\n\t\t\t\t\t\t<span  >\n\t\t\t\t\t\t\tData set\t\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/h3>\n\t\t\t\t\n\t\t\t\t\n\t\t\t<\/div>\n\t\t\t\n\t\t<\/div>\n\t\t\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-6dd7891 e-flex e-con-boxed e-con e-parent\" data-id=\"6dd7891\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-6fd8b97 elementor-widget elementor-widget-text-editor\" data-id=\"6fd8b97\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<ul><li>Compatible with the most common <a href=\"https:\/\/www.neuraldesigner.com\/learning\/tutorials\/data-set#DataSource\">data files<\/a>: CSV, DAT, TXT, Excel, OpenOffice \u2026<\/li><li>Complete configuration of <a href=\"https:\/\/www.neuraldesigner.com\/learning\/tutorials\/data-set#Variables\">variables<\/a>.<\/li><li>Complete configuration of <a href=\"https:\/\/www.neuraldesigner.com\/learning\/tutorials\/data-set#Instances\">instances<\/a>.<\/li><li>Exhaustive <a href=\"https:\/\/www.neuraldesigner.com\/learning\/tutorials\/data-set#Statistics\">descriptive statistics<\/a>.<\/li><li>Estimation of variables importance using <a href=\"https:\/\/www.neuraldesigner.com\/learning\/tutorials\/data-set#InputsTargetsCorrelations\">many types of correlations<\/a>.<\/li><li>Innovative utilities for <a href=\"https:\/\/www.neuraldesigner.com\/learning\/tutorials\/data-set#Outliers\">outlier detection<\/a> and <a href=\"https:\/\/www.neuraldesigner.com\/learning\/tutorials\/data-set#Filtering\">data filtering<\/a>.<\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-daa9714 elementor-position-left elementor-view-default elementor-mobile-position-top elementor-widget elementor-widget-icon-box\" data-id=\"daa9714\" data-element_type=\"widget\" data-widget_type=\"icon-box.default\">\n\t\t\t\t\t\t\t<div class=\"elementor-icon-box-wrapper\">\n\n\t\t\t\t\t\t<div class=\"elementor-icon-box-icon\">\n\t\t\t\t<span  class=\"elementor-icon\">\n\t\t\t\t<svg xmlns:dc=\"http:\/\/purl.org\/dc\/elements\/1.1\/\" xmlns:cc=\"http:\/\/creativecommons.org\/ns#\" xmlns:rdf=\"http:\/\/www.w3.org\/1999\/02\/22-rdf-syntax-ns#\" xmlns:svg=\"http:\/\/www.w3.org\/2000\/svg\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" xmlns:sodipodi=\"http:\/\/sodipodi.sourceforge.net\/DTD\/sodipodi-0.dtd\" xmlns:inkscape=\"http:\/\/www.inkscape.org\/namespaces\/inkscape\" x=\"0px\" y=\"0px\" width=\"24px\" height=\"24px\" viewBox=\"0 0 24 24\" xml:space=\"preserve\" id=\"svg9\" sodipodi:docname=\"neural_network.svg\" inkscape:version=\"0.92.3 (2405546, 2018-03-11)\"><metadata><\/metadata><defs id=\"defs13\"><\/defs><g id=\"Bounding_Boxes\" transform=\"translate(-26,-26)\"><g id=\"ui_x5F_spec_x5F_header_copy_2\"><\/g><path d=\"M 0,0 H 24 V 24 H 0 Z\" id=\"path3\" 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style=\"stroke:#1b73e8;stroke-width:0.5;stroke-linecap:round;stroke-linejoin:miter;stroke-opacity:1;stroke-miterlimit:4;stroke-dasharray:none\" d=\"m 18,15.92 c -4,4 -4,4 -4,4\" id=\"path906\" inkscape:connector-curvature=\"0\"><\/path><path style=\"stroke:#1b73e8;stroke-width:0.5;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1;stroke-miterlimit:4;stroke-dasharray:none\" d=\"m 10,11.92 c -4,0 -4,0 -4,0\" id=\"path908\" inkscape:connector-curvature=\"0\"><\/path><path style=\"stroke:#1b73e8;stroke-width:0.5;stroke-linecap:round;stroke-linejoin:miter;stroke-opacity:1;stroke-miterlimit:4;stroke-dasharray:none\" d=\"m 10,3.92 c -4,8 -4,8 -4,8\" id=\"path910\" inkscape:connector-curvature=\"0\"><\/path><path style=\"stroke:#1b73e8;stroke-width:0.5;stroke-linecap:round;stroke-linejoin:miter;stroke-opacity:1;stroke-miterlimit:4;stroke-dasharray:none\" d=\"m 18,7.92 c -4,-4 -4,-4 -4,-4\" id=\"path912\" inkscape:connector-curvature=\"0\"><\/path><path style=\"stroke:#1b73e8;stroke-width:0.5;stroke-linecap:round;stroke-linejoin:miter;stroke-opacity:1;stroke-miterlimit:4;stroke-dasharray:none\" d=\"m 18,15.92 c -4,-4 -4,-4 -4,-4\" id=\"path914\" inkscape:connector-curvature=\"0\"><\/path><path style=\"stroke:#1b73e8;stroke-width:0.5;stroke-linecap:round;stroke-linejoin:miter;stroke-opacity:1;stroke-miterlimit:4;stroke-dasharray:none\" d=\"m 18,7.92 c -4,4 -4,4 -4,4\" id=\"path916\" inkscape:connector-curvature=\"0\"><\/path><path style=\"stroke:#1b73e8;stroke-width:0.5;stroke-linecap:round;stroke-linejoin:miter;stroke-opacity:1;stroke-miterlimit:4;stroke-dasharray:none\" d=\"m 14,19.92 c 4,-12 4,-12 4,-12\" id=\"path918\" inkscape:connector-curvature=\"0\"><\/path><path style=\"stroke:#1b73e8;stroke-width:0.5;stroke-linecap:round;stroke-linejoin:miter;stroke-opacity:1;stroke-miterlimit:4;stroke-dasharray:none\" d=\"m 18,15.92 c -4,-12 -4,-12 -4,-12\" id=\"path920\" inkscape:connector-curvature=\"0\"><\/path><path style=\"stroke:#1b73e8;stroke-width:0.5;stroke-linecap:round;stroke-linejoin:miter;stroke-opacity:1;stroke-miterlimit:4;stroke-dasharray:none;paint-order:stroke fill markers\" d=\"m 10,19.92 c -4,-8 -4,-8 -4,-8\" id=\"path922\" inkscape:connector-curvature=\"0\"><\/path><\/g><\/svg>\t\t\t\t<\/span>\n\t\t\t<\/div>\n\t\t\t\n\t\t\t\t\t\t<div class=\"elementor-icon-box-content\">\n\n\t\t\t\t\t\t\t\t\t<h3 class=\"elementor-icon-box-title\">\n\t\t\t\t\t\t<span  >\n\t\t\t\t\t\t\tNeural network\t\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/h3>\n\t\t\t\t\n\t\t\t\t\n\t\t\t<\/div>\n\t\t\t\n\t\t<\/div>\n\t\t\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-80093cd e-flex e-con-boxed e-con e-parent\" data-id=\"80093cd\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-72393f3 elementor-widget elementor-widget-text-editor\" data-id=\"72393f3\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<ul><li><a href=\"https:\/\/www.neuraldesigner.com\/learning\/tutorials\/neural-network#NetworkArchitecture\">Network architecture<\/a> with an unlimited number of layers.<\/li><li><a href=\"https:\/\/www.neuraldesigner.com\/learning\/tutorials\/neural-network#PerceptronsLayers\">Perceptron layer<\/a> with several activation functions: <a href=\"https:\/\/www.neuraldesigner.com\/learning\/tutorials\/neural-network#LinearActivationFunction\">linear<\/a>, <a href=\"https:\/\/www.neuraldesigner.com\/learning\/tutorials\/neural-network#HyperbolicTangentActivationFunction\">hyperbolic tangent<\/a>, <a href=\"https:\/\/www.neuraldesigner.com\/learning\/tutorials\/neural-network#LogisticActivationFunction\">logistic<\/a>, and <a href=\"https:\/\/www.neuraldesigner.com\/learning\/tutorials\/neural-network#RectifiedLinearActivationFunction\">rectified linear<\/a>.<\/li><li><a href=\"https:\/\/www.neuraldesigner.com\/learning\/tutorials\/neural-network#ProbabilisticLayer\">Probabilistic layer<\/a> with different activation functions: <a href=\"https:\/\/www.neuraldesigner.com\/learning\/tutorials\/neural-network#BinaryProbabilisticMethod\">binary<\/a>, <a href=\"https:\/\/www.neuraldesigner.com\/learning\/tutorials\/neural-network#continuousProbabilisticMethod\">continuous<\/a>, <a href=\"https:\/\/www.neuraldesigner.com\/learning\/tutorials\/neural-network#CompetitiveProbabilisticMethod\">competitive<\/a>, and <a href=\"https:\/\/www.neuraldesigner.com\/learning\/tutorials\/neural-network#SoftmaxProbabilisticMethod\">softmax<\/a>.<\/li><li><a href=\"https:\/\/www.neuraldesigner.com\/learning\/tutorials\/neural-network#ScalingLayer\">Scaling layer<\/a> with <a href=\"https:\/\/www.neuraldesigner.com\/learning\/tutorials\/neural-network#MinimumMaximumScalingMethod\">minimum\/maximum<\/a> and <a href=\"https:\/\/www.neuraldesigner.com\/learning\/tutorials\/neural-network#MeanStandardDeviationScalingMethod\">mean\/standard deviation<\/a> methods.<\/li><li><a href=\"https:\/\/www.neuraldesigner.com\/learning\/tutorials\/neural-network#UnscalingLayer\">Unscaling layer<\/a> with <a href=\"https:\/\/www.neuraldesigner.com\/learning\/tutorials\/neural-network#MinimumMaximumUnscalingMethod\">minimum\/maximum<\/a> and <a href=\"https:\/\/www.neuraldesigner.com\/learning\/tutorials\/neural-network#MeanStandardDeviationUnscalingMethod\">mean\/standard deviation<\/a> methods.<\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a02aaf0 elementor-position-left elementor-view-default elementor-mobile-position-top elementor-widget elementor-widget-icon-box\" data-id=\"a02aaf0\" data-element_type=\"widget\" data-widget_type=\"icon-box.default\">\n\t\t\t\t\t\t\t<div class=\"elementor-icon-box-wrapper\">\n\n\t\t\t\t\t\t<div class=\"elementor-icon-box-icon\">\n\t\t\t\t<span  class=\"elementor-icon\">\n\t\t\t\t<svg xmlns:dc=\"http:\/\/purl.org\/dc\/elements\/1.1\/\" xmlns:cc=\"http:\/\/creativecommons.org\/ns#\" xmlns:rdf=\"http:\/\/www.w3.org\/1999\/02\/22-rdf-syntax-ns#\" xmlns:svg=\"http:\/\/www.w3.org\/2000\/svg\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" xmlns:sodipodi=\"http:\/\/sodipodi.sourceforge.net\/DTD\/sodipodi-0.dtd\" xmlns:inkscape=\"http:\/\/www.inkscape.org\/namespaces\/inkscape\" x=\"0px\" y=\"0px\" width=\"24px\" height=\"24px\" viewBox=\"0 0 24 24\" xml:space=\"preserve\" id=\"svg10\" sodipodi:docname=\"training_strategy.svg\" inkscape:version=\"0.92.1 r15371\"><metadata><\/metadata><defs id=\"defs14\"><\/defs><g id=\"Bounding_Boxes\"><g id=\"ui_x5F_spec_x5F_header_copy_2\"><\/g><path fill=\"none\" d=\"M0,0h24v24H0V0z\" id=\"path3\"><\/path><\/g><g id=\"Sharp\" style=\"fill:#fbc524\"><g id=\"ui_x5F_spec_x5F_header_copy_4\" style=\"fill:#fbc524\"><\/g><path d=\"M 8,16 V 4 h 2 L 7,1 4,4 h 2 v 14 c 2,-2 0,0 2,-2 z m 2,-8 h 6 v 6 h 2 V 6 h -8 z\" id=\"path7\" style=\"fill:#fbc524\" inkscape:connector-curvature=\"0\" sodipodi:nodetypes=\"ccccccccccccccc\"><\/path><g id=\"Bounding_Boxes-9\" transform=\"translate(12.711864,12.508475)\"><g id=\"ui_x5F_spec_x5F_header_copy_2-0\"><\/g><path style=\"fill:none\" inkscape:connector-curvature=\"0\" d=\"M 0,0 H 24 V 24 H 0 Z\" id=\"path3-0\"><\/path><\/g><path d=\"m 8,15.964045 h 12 v -2 l 3,3 -3,3 v -2 H 6 Z\" id=\"path7-9\" style=\"fill:#fbc524\" inkscape:connector-curvature=\"0\" sodipodi:nodetypes=\"cccccccc\"><\/path><\/g><\/svg>\t\t\t\t<\/span>\n\t\t\t<\/div>\n\t\t\t\n\t\t\t\t\t\t<div class=\"elementor-icon-box-content\">\n\n\t\t\t\t\t\t\t\t\t<h3 class=\"elementor-icon-box-title\">\n\t\t\t\t\t\t<span  >\n\t\t\t\t\t\t\tTraining strategy\t\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/h3>\n\t\t\t\t\n\t\t\t\t\n\t\t\t<\/div>\n\t\t\t\n\t\t<\/div>\n\t\t\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-adaa6b5 e-flex e-con-boxed e-con e-parent\" data-id=\"adaa6b5\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-0d99cd6 elementor-widget elementor-widget-text-editor\" data-id=\"0d99cd6\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<ul><li><a href=\"https:\/\/www.neuraldesigner.com\/learning\/tutorials\/training-strategy#LossIndex\">Loss indices<\/a> for all types of applications:<ul><li><a href=\"https:\/\/www.neuraldesigner.com\/learning\/tutorials\/training-strategy#WeightedSquaredError\">Weighted squared error<\/a> for common data sets.<\/li><li><a href=\"https:\/\/www.neuraldesigner.com\/learning\/tutorials\/training-strategy#MinkowskiError\">Minkowski error<\/a> for dealing with outliers.<\/li><li><a href=\"https:\/\/www.neuraldesigner.com\/learning\/tutorials\/training-strategy#CrossEntropyError\">Cross-entropy error<\/a> for pattern recognition.<\/li><li><a href=\"https:\/\/www.neuraldesigner.com\/learning\/tutorials\/training-strategy#WeightedSquaredError\">Weighted squared error<\/a> for unbalanced data sets.<\/li><li><a href=\"https:\/\/www.neuraldesigner.com\/learning\/tutorials\/training-strategy#RegularizationTerm\">L1 and L2 Regularization<\/a> for avoiding overfitting.<\/li><\/ul><\/li><li><a href=\"https:\/\/www.neuraldesigner.com\/learning\/tutorials\/training-strategy#OptimizationAlgorithm\">Optimization algorithms<\/a> for all volumes of data:<ul><li><a href=\"https:\/\/www.neuraldesigner.com\/learning\/tutorials\/training-strategy#StochasticGradientDescent\">Stochastic gradient descent<\/a> and adaptive moment estimation for huge data sets.<\/li><li><a href=\"https:\/\/www.neuraldesigner.com\/learning\/tutorials\/training-strategy#GradientDescent\">Gradient descent<\/a>, <a href=\"https:\/\/www.neuraldesigner.com\/learning\/tutorials\/training-strategy#ConjugateGradient\">conjugate gradient<\/a>\u00a0and <a href=\"https:\/\/www.neuraldesigner.com\/learning\/tutorials\/training-strategy#AdaptativeLinearMomentum\">adaptative linear momentum<\/a> for the training of big data sets.<\/li><li><a href=\"https:\/\/www.neuraldesigner.com\/learning\/tutorials\/training-strategy#QuasiNewtonMethod\">Quasi-Newton method<\/a> for fast training of medium data sets.<\/li><li><a href=\"https:\/\/www.neuraldesigner.com\/learning\/tutorials\/training-strategy#LevenbergMarquardtAlgorithm\">Levenberg-Marquardt algorithm<\/a> for high-speed training of small data sets.<\/li><\/ul><\/li><\/ul>\t\t\t\t\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-daf1a31 e-flex e-con-boxed e-con e-parent\" data-id=\"daf1a31\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-d6f52b3 elementor-position-left elementor-view-default elementor-mobile-position-top elementor-widget elementor-widget-icon-box\" data-id=\"d6f52b3\" data-element_type=\"widget\" data-widget_type=\"icon-box.default\">\n\t\t\t\t\t\t\t<div class=\"elementor-icon-box-wrapper\">\n\n\t\t\t\t\t\t<div class=\"elementor-icon-box-icon\">\n\t\t\t\t<span  class=\"elementor-icon\">\n\t\t\t\t<svg xmlns:dc=\"http:\/\/purl.org\/dc\/elements\/1.1\/\" xmlns:cc=\"http:\/\/creativecommons.org\/ns#\" xmlns:rdf=\"http:\/\/www.w3.org\/1999\/02\/22-rdf-syntax-ns#\" xmlns:svg=\"http:\/\/www.w3.org\/2000\/svg\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" xmlns:sodipodi=\"http:\/\/sodipodi.sourceforge.net\/DTD\/sodipodi-0.dtd\" xmlns:inkscape=\"http:\/\/www.inkscape.org\/namespaces\/inkscape\" x=\"0px\" y=\"0px\" width=\"24px\" height=\"24px\" viewBox=\"0 0 24 24\" xml:space=\"preserve\" id=\"svg10\" sodipodi:docname=\"model_selection.svg\" inkscape:version=\"0.92.2 (5c3e80d, 2017-08-06)\"><metadata><\/metadata><defs id=\"defs14\"><\/defs><g id=\"Bounding_Boxes\"><g id=\"ui_x5F_spec_x5F_header_copy_3\" display=\"none\"><\/g><path fill=\"none\" d=\"M0,0h24v24H0V0z\" id=\"path3\"><\/path><\/g><g id=\"Sharp\" style=\"fill:#a142f4\"><g id=\"ui_x5F_spec_x5F_header_copy_4\" display=\"none\" style=\"fill:#a142f4\"><\/g><path d=\"M3,13h2v-2H3V13z M7,21h2v-2H7V21z M3,9h2V7H3V9z M13,3h-2v2h2V3z M3,17h2v-2H3V17z M9,3H7v2h2V3z M5,3H3v2h2V3z M11,21h2 v-2h-2V21z M19,13h2v-2h-2V13z M19,9h2V7h-2V9z M19,17h2v-2h-2V17z M15,21h2v-2h-2V21z M15,5h2V3h-2V5z M19,5h2V3h-2V5z M19,21h2 v-2h-2V21z M3,21h2v-2H3V21z M7,17h10V7H7V17z M9,9h6v6H9V9z\" id=\"path7\" style=\"fill:#a142f4\"><\/path><\/g><\/svg>\t\t\t\t<\/span>\n\t\t\t<\/div>\n\t\t\t\n\t\t\t\t\t\t<div class=\"elementor-icon-box-content\">\n\n\t\t\t\t\t\t\t\t\t<h3 class=\"elementor-icon-box-title\">\n\t\t\t\t\t\t<span  >\n\t\t\t\t\t\t\tModel selection\t\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/h3>\n\t\t\t\t\n\t\t\t\t\n\t\t\t<\/div>\n\t\t\t\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a2f8515 elementor-widget elementor-widget-text-editor\" data-id=\"a2f8515\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<ul><li><a href=\"https:\/\/www.neuraldesigner.com\/learning\/tutorials\/model-selection#OrderSelection\">Neurons selection algorithm<\/a> for finding the optimal network architecture: <a href=\"https:\/\/www.neuraldesigner.com\/learning\/tutorials\/model-selection#IncrementalOrder\">incremental order<\/a>.<\/li><li><a href=\"https:\/\/www.neuraldesigner.com\/learning\/tutorials\/model-selection#InputsSelection\">Inputs selection algorithms<\/a> for selecting the most important features: <a href=\"https:\/\/www.neuraldesigner.com\/learning\/tutorials\/model-selection#GrowingInputs\">growing inputs<\/a>, <a href=\"https:\/\/www.neuraldesigner.com\/learning\/tutorials\/model-selection#PrunningInputs\">pruning inputs<\/a>, and <a href=\"https:\/\/www.neuraldesigner.com\/learning\/tutorials\/model-selection#GeneticAlgorithm\">genetic algorithm<\/a>.<\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-e5c084d elementor-position-left elementor-view-default elementor-mobile-position-top elementor-widget elementor-widget-icon-box\" data-id=\"e5c084d\" data-element_type=\"widget\" data-widget_type=\"icon-box.default\">\n\t\t\t\t\t\t\t<div class=\"elementor-icon-box-wrapper\">\n\n\t\t\t\t\t\t<div class=\"elementor-icon-box-icon\">\n\t\t\t\t<span  class=\"elementor-icon\">\n\t\t\t\t<svg xmlns:dc=\"http:\/\/purl.org\/dc\/elements\/1.1\/\" xmlns:cc=\"http:\/\/creativecommons.org\/ns#\" xmlns:rdf=\"http:\/\/www.w3.org\/1999\/02\/22-rdf-syntax-ns#\" xmlns:svg=\"http:\/\/www.w3.org\/2000\/svg\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" xmlns:sodipodi=\"http:\/\/sodipodi.sourceforge.net\/DTD\/sodipodi-0.dtd\" xmlns:inkscape=\"http:\/\/www.inkscape.org\/namespaces\/inkscape\" x=\"0px\" y=\"0px\" width=\"24px\" height=\"24px\" viewBox=\"0 0 24 24\" xml:space=\"preserve\" id=\"svg30\" sodipodi:docname=\"testing_analysis.svg\" inkscape:version=\"0.92.2 (5c3e80d, 2017-08-06)\"><metadata><\/metadata><defs id=\"defs34\"><\/defs><g id=\"Header_x2F_BG\" display=\"none\"><rect x=\"-50\" y=\"-314\" display=\"inline\" fill=\"#F1F1F2\" width=\"520\" height=\"520\" id=\"rect2\"><\/rect><\/g><g id=\"Bounding_Boxes\"><g id=\"ui_x5F_spec_x5F_header_copy_3\"><\/g><path fill=\"none\" d=\"M0,0h24v24H0V0z\" id=\"path6\"><\/path><\/g><g id=\"Rounded\" display=\"none\"><g id=\"ui_x5F_spec_x5F_header_copy_5\" display=\"inline\"><\/g><path display=\"inline\" d=\"M9,16.2l-3.5-3.5c-0.39-0.39-1.01-0.39-1.4,0l0,0c-0.39,0.39-0.39,1.01,0,1.4l4.19,4.19 c0.39,0.39,1.02,0.39,1.41,0L20.3,7.7c0.39-0.39,0.39-1.01,0-1.4l0,0c-0.39-0.39-1.01-0.39-1.4,0L9,16.2z\" id=\"path10\"><\/path><\/g><g id=\"Sharp\" style=\"fill:#1e8e3e\"><g id=\"ui_x5F_spec_x5F_header_copy_4\" style=\"fill:#1e8e3e\"><\/g><path d=\"M9,16.2L4.8,12l-1.4,1.4L9,19L21,7l-1.4-1.4L9,16.2z\" id=\"path14\" style=\"fill:#1e8e3e\"><\/path><\/g><g id=\"Outline\" display=\"none\"><g id=\"ui_x5F_spec_x5F_header\" display=\"inline\"><\/g><path display=\"inline\" d=\"M9,16.2L4.8,12l-1.4,1.4L9,19L21,7l-1.4-1.4L9,16.2z\" id=\"path18\"><\/path><\/g><g id=\"Duotone\" display=\"none\"><g id=\"ui_x5F_spec_x5F_header_copy_2\" display=\"inline\"><\/g><path display=\"inline\" d=\"M9,16.2L4.8,12l-1.4,1.4L9,19L21,7l-1.4-1.4L9,16.2z\" id=\"path22\"><\/path><\/g><g id=\"Fill\" display=\"none\"><g id=\"ui_x5F_spec_x5F_header_copy\" display=\"inline\"><\/g><path display=\"inline\" d=\"M9,16.2L4.8,12l-1.4,1.4L9,19L21,7l-1.4-1.4L9,16.2z\" id=\"path26\"><\/path><\/g><g id=\"nyt_x5F_exporter_x5F_info\" display=\"none\"><\/g><\/svg>\t\t\t\t<\/span>\n\t\t\t<\/div>\n\t\t\t\n\t\t\t\t\t\t<div class=\"elementor-icon-box-content\">\n\n\t\t\t\t\t\t\t\t\t<h3 class=\"elementor-icon-box-title\">\n\t\t\t\t\t\t<span  >\n\t\t\t\t\t\t\tTesting analysis\t\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/h3>\n\t\t\t\t\n\t\t\t\t\n\t\t\t<\/div>\n\t\t\t\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-9668734 elementor-widget elementor-widget-text-editor\" data-id=\"9668734\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<ul><li><a href=\"https:\/\/www.neuraldesigner.com\/learning\/tutorials\/testing-analysis#TestingErrors\">Testing errors<\/a> and corresponding\u00a0<a href=\"https:\/\/www.neuraldesigner.com\/learning\/tutorials\/testing-analysis#ErrorsStatistics\">statistics<\/a> and\u00a0<a href=\"https:\/\/www.neuraldesigner.com\/learning\/tutorials\/testing-analysis#ErrorsHistogram\">histogram<\/a>\u00a0calculation.<\/li><li><a href=\"https:\/\/www.neuraldesigner.com\/learning\/tutorials\/testing-analysis#LinearRegressionAnalysis\">Linear regression analysis<\/a> for functional regression problems.<\/li><li><a href=\"https:\/\/www.neuraldesigner.com\/learning\/tutorials\/testing-analysis#ConfusionMatrix\">Confusion matrix<\/a> for pattern recognition applications.<\/li><li>Full set of metrics for the evaluation of <a href=\"https:\/\/www.neuraldesigner.com\/learning\/tutorials\/testing-analysis#BinaryClassificationTests\">binary classification tests<\/a>.<\/li><li><a href=\"https:\/\/www.neuraldesigner.com\/learning\/tutorials\/testing-analysis#RocCurve\">ROC curve<\/a> for diagnostic tests.<\/li><li>List of <a href=\"https:\/\/www.neuraldesigner.com\/learning\/tutorials\/testing-analysis#MisclassifiedInstances\">misclassified instances<\/a>.<\/li><li><a href=\"https:\/\/www.neuraldesigner.com\/learning\/tutorials\/testing-analysis#CumulativeGain\">Cumulative gain<\/a> and <a href=\"https:\/\/www.neuraldesigner.com\/learning\/tutorials\/testing-analysis#LiftChart\">lift charts<\/a> for segmentation applications in marketing.<\/li><li><a href=\"https:\/\/www.neuraldesigner.com\/learning\/tutorials\/testing-analysis#ProfitChart\">Profit chart<\/a> for simulating marketing campaigns.<\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-fd33381 elementor-position-left elementor-view-default elementor-mobile-position-top elementor-widget elementor-widget-icon-box\" data-id=\"fd33381\" data-element_type=\"widget\" data-widget_type=\"icon-box.default\">\n\t\t\t\t\t\t\t<div class=\"elementor-icon-box-wrapper\">\n\n\t\t\t\t\t\t<div class=\"elementor-icon-box-icon\">\n\t\t\t\t<span  class=\"elementor-icon\">\n\t\t\t\t<svg xmlns:dc=\"http:\/\/purl.org\/dc\/elements\/1.1\/\" xmlns:cc=\"http:\/\/creativecommons.org\/ns#\" xmlns:rdf=\"http:\/\/www.w3.org\/1999\/02\/22-rdf-syntax-ns#\" xmlns:svg=\"http:\/\/www.w3.org\/2000\/svg\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" xmlns:sodipodi=\"http:\/\/sodipodi.sourceforge.net\/DTD\/sodipodi-0.dtd\" xmlns:inkscape=\"http:\/\/www.inkscape.org\/namespaces\/inkscape\" x=\"0px\" y=\"0px\" width=\"24px\" height=\"24px\" viewBox=\"0 0 24 24\" xml:space=\"preserve\" id=\"svg10\" sodipodi:docname=\"model_deployment.svg\" inkscape:version=\"0.92.2 (5c3e80d, 2017-08-06)\"><metadata><\/metadata><defs id=\"defs14\"><\/defs><g id=\"Bounding_Boxes\"><g id=\"ui_x5F_spec_x5F_header_copy_3\" display=\"none\"><\/g><path fill=\"none\" d=\"M0,0h24v24H0V0z\" id=\"path3\"><\/path><\/g><g id=\"Sharp\" style=\"fill:#d93025\"><g id=\"ui_x5F_spec_x5F_header_copy_4\" display=\"none\" style=\"fill:#d93025\"><\/g><path d=\"M19,19H5V5h7V3H3v18h18v-9h-2V19z M14,3v2h3.59l-9.83,9.83l1.41,1.41L19,6.41V10h2V3H14z\" id=\"path7\" style=\"fill:#d93025\"><\/path><\/g><\/svg>\t\t\t\t<\/span>\n\t\t\t<\/div>\n\t\t\t\n\t\t\t\t\t\t<div class=\"elementor-icon-box-content\">\n\n\t\t\t\t\t\t\t\t\t<h3 class=\"elementor-icon-box-title\">\n\t\t\t\t\t\t<span  >\n\t\t\t\t\t\t\tModel deployment\t\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/h3>\n\t\t\t\t\n\t\t\t\t\n\t\t\t<\/div>\n\t\t\t\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-037456f elementor-widget elementor-widget-text-editor\" data-id=\"037456f\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<ul><li>Calculation of <a href=\"https:\/\/www.neuraldesigner.com\/learning\/tutorials\/model-deployment#NeuralNetworkOutputs\">output values<\/a>.<\/li><li><a href=\"https:\/\/www.neuraldesigner.com\/learning\/tutorials\/model-deployment#DirectionalOutputs\">Directional plots<\/a> for exploring the predictive model.<\/li><li>Exportable <a href=\"https:\/\/www.neuraldesigner.com\/learning\/tutorials\/model-deployment#MathematicalExpression\">mathematical expression<\/a> of the model.<\/li><li>Exportable predictive model in <a href=\"https:\/\/www.neuraldesigner.com\/learning\/tutorials\/model-deployment#CExpression\">C<\/a> and <a href=\"https:\/\/www.neuraldesigner.com\/learning\/tutorials\/model-deployment#PythonExpression\">Python<\/a>.<\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-e3925d1 elementor-position-left elementor-view-default elementor-mobile-position-top elementor-widget elementor-widget-icon-box\" data-id=\"e3925d1\" data-element_type=\"widget\" data-widget_type=\"icon-box.default\">\n\t\t\t\t\t\t\t<div class=\"elementor-icon-box-wrapper\">\n\n\t\t\t\t\t\t<div class=\"elementor-icon-box-icon\">\n\t\t\t\t<span  class=\"elementor-icon\">\n\t\t\t\t<svg xmlns:dc=\"http:\/\/purl.org\/dc\/elements\/1.1\/\" xmlns:cc=\"http:\/\/creativecommons.org\/ns#\" xmlns:rdf=\"http:\/\/www.w3.org\/1999\/02\/22-rdf-syntax-ns#\" xmlns:svg=\"http:\/\/www.w3.org\/2000\/svg\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" xmlns:sodipodi=\"http:\/\/sodipodi.sourceforge.net\/DTD\/sodipodi-0.dtd\" xmlns:inkscape=\"http:\/\/www.inkscape.org\/namespaces\/inkscape\" height=\"24\" viewBox=\"0 0 24 24\" width=\"24\" id=\"svg6\" sodipodi:docname=\"icon-output.svg\" inkscape:version=\"0.92.1 r15371\"><metadata><\/metadata><defs id=\"defs10\"><\/defs><path d=\"M0 0h24v24H0V0z\" fill=\"none\" opacity=\".87\" id=\"path2\"><\/path><path d=\"M3 14h4v-4H3v4zm0 5h4v-4H3v4zM3 9h4V5H3v4zm5 5h12v-4H8v4zm0 5h12v-4H8v4zM8 5v4h12V5H8z\" id=\"path4\" style=\"fill:#333333\"><\/path><\/svg>\t\t\t\t<\/span>\n\t\t\t<\/div>\n\t\t\t\n\t\t\t\t\t\t<div class=\"elementor-icon-box-content\">\n\n\t\t\t\t\t\t\t\t\t<h3 class=\"elementor-icon-box-title\">\n\t\t\t\t\t\t<span  >\n\t\t\t\t\t\t\tOutput\t\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/h3>\n\t\t\t\t\n\t\t\t\t\n\t\t\t<\/div>\n\t\t\t\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-28d6ea6 elementor-widget elementor-widget-text-editor\" data-id=\"28d6ea6\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<ul><li>Exhaustive results in interactive report plenty of descriptions, tables, and figures.<\/li><li>Report exportable to Word and Pdf formats.<\/li><li>Results exportable in data format.<\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-928aa8e elementor-position-left elementor-view-default elementor-mobile-position-top elementor-widget elementor-widget-icon-box\" data-id=\"928aa8e\" data-element_type=\"widget\" data-widget_type=\"icon-box.default\">\n\t\t\t\t\t\t\t<div class=\"elementor-icon-box-wrapper\">\n\n\t\t\t\t\t\t<div class=\"elementor-icon-box-icon\">\n\t\t\t\t<span  class=\"elementor-icon\">\n\t\t\t\t<svg xmlns:dc=\"http:\/\/purl.org\/dc\/elements\/1.1\/\" xmlns:cc=\"http:\/\/creativecommons.org\/ns#\" xmlns:rdf=\"http:\/\/www.w3.org\/1999\/02\/22-rdf-syntax-ns#\" xmlns:svg=\"http:\/\/www.w3.org\/2000\/svg\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" xmlns:sodipodi=\"http:\/\/sodipodi.sourceforge.net\/DTD\/sodipodi-0.dtd\" xmlns:inkscape=\"http:\/\/www.inkscape.org\/namespaces\/inkscape\" height=\"24\" viewBox=\"0 0 24 24\" width=\"24\" id=\"svg6\" sodipodi:docname=\"icon-help.svg\" inkscape:version=\"0.92.1 r15371\"><metadata><\/metadata><defs id=\"defs10\"><\/defs><path d=\"M0 0h24v24H0V0z\" fill=\"none\" id=\"path2\"><\/path><path d=\"M12 2C6.48 2 2 6.48 2 12s4.48 10 10 10 10-4.48 10-10S17.52 2 12 2zm1 17h-2v-2h2v2zm2.07-7.75l-.9.92C13.45 12.9 13 13.5 13 15h-2v-.5c0-1.1.45-2.1 1.17-2.83l1.24-1.26c.37-.36.59-.86.59-1.41 0-1.1-.9-2-2-2s-2 .9-2 2H8c0-2.21 1.79-4 4-4s4 1.79 4 4c0 .88-.36 1.68-.93 2.25z\" id=\"path4\" style=\"fill:#333333\"><\/path><\/svg>\t\t\t\t<\/span>\n\t\t\t<\/div>\n\t\t\t\n\t\t\t\t\t\t<div class=\"elementor-icon-box-content\">\n\n\t\t\t\t\t\t\t\t\t<h3 class=\"elementor-icon-box-title\">\n\t\t\t\t\t\t<span  >\n\t\t\t\t\t\t\tHelp\t\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/h3>\n\t\t\t\t\n\t\t\t\t\n\t\t\t<\/div>\n\t\t\t\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7603c87 elementor-widget elementor-widget-text-editor\" data-id=\"7603c87\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<ul><li>Simple <a href=\"https:\/\/www.neuraldesigner.com\/learning\/user-guide\">user&#8217;s guide<\/a>.<\/li><li>Extensive <a href=\"https:\/\/www.neuraldesigner.com\/learning\/neural-networks-tutorial\">tutorials<\/a> on the application of neural networks with Neural Designer.<\/li><li>Several step-by-step solved <a href=\"https:\/\/www.neuraldesigner.com\/learning\/examples\">examples<\/a> of machine learning applications in different fields.<\/li><li>Premium <a href=\"https:\/\/www.neuraldesigner.com\/contactus\">technical support<\/a> by email, phone, or video chat.<\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ca097a4 elementor-position-left elementor-view-default elementor-mobile-position-top elementor-widget elementor-widget-icon-box\" data-id=\"ca097a4\" data-element_type=\"widget\" data-widget_type=\"icon-box.default\">\n\t\t\t\t\t\t\t<div class=\"elementor-icon-box-wrapper\">\n\n\t\t\t\t\t\t<div class=\"elementor-icon-box-icon\">\n\t\t\t\t<span  class=\"elementor-icon\">\n\t\t\t\t<svg xmlns:dc=\"http:\/\/purl.org\/dc\/elements\/1.1\/\" xmlns:cc=\"http:\/\/creativecommons.org\/ns#\" xmlns:rdf=\"http:\/\/www.w3.org\/1999\/02\/22-rdf-syntax-ns#\" xmlns:svg=\"http:\/\/www.w3.org\/2000\/svg\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" xmlns:sodipodi=\"http:\/\/sodipodi.sourceforge.net\/DTD\/sodipodi-0.dtd\" xmlns:inkscape=\"http:\/\/www.inkscape.org\/namespaces\/inkscape\" width=\"24\" height=\"24\" viewBox=\"0 0 24 24\" id=\"svg6\" sodipodi:docname=\"icon-performance.svg\" inkscape:version=\"0.92.1 r15371\"><metadata><\/metadata><defs id=\"defs10\"><\/defs><path d=\"M16 6l2.29 2.29-4.88 4.88-4-4L2 16.59 3.41 18l6-6 4 4 6.3-6.29L22 12V6z\" id=\"path2\" style=\"fill:#333333\"><\/path><path d=\"M0 0h24v24H0z\" fill=\"none\" id=\"path4\"><\/path><\/svg>\t\t\t\t<\/span>\n\t\t\t<\/div>\n\t\t\t\n\t\t\t\t\t\t<div class=\"elementor-icon-box-content\">\n\n\t\t\t\t\t\t\t\t\t<h3 class=\"elementor-icon-box-title\">\n\t\t\t\t\t\t<span  >\n\t\t\t\t\t\t\tPerformance\t\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/h3>\n\t\t\t\t\n\t\t\t\t\n\t\t\t<\/div>\n\t\t\t\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a6453d6 elementor-widget elementor-widget-text-editor\" data-id=\"a6453d6\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<ul><li>Software developed with the high-performance programing language C++.<\/li><li>Code subjected to optimization techniques for memory management and processing speed.<\/li><li>CPU parallelization employing OpenMP.<\/li><li>GPU acceleration with CUDA, MKL and Eigen.<\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-9c8489e elementor-position-left elementor-view-default elementor-mobile-position-top elementor-widget elementor-widget-icon-box\" data-id=\"9c8489e\" data-element_type=\"widget\" data-widget_type=\"icon-box.default\">\n\t\t\t\t\t\t\t<div class=\"elementor-icon-box-wrapper\">\n\n\t\t\t\t\t\t<div class=\"elementor-icon-box-icon\">\n\t\t\t\t<span  class=\"elementor-icon\">\n\t\t\t\t<svg xmlns:dc=\"http:\/\/purl.org\/dc\/elements\/1.1\/\" xmlns:cc=\"http:\/\/creativecommons.org\/ns#\" xmlns:rdf=\"http:\/\/www.w3.org\/1999\/02\/22-rdf-syntax-ns#\" xmlns:svg=\"http:\/\/www.w3.org\/2000\/svg\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" xmlns:sodipodi=\"http:\/\/sodipodi.sourceforge.net\/DTD\/sodipodi-0.dtd\" xmlns:inkscape=\"http:\/\/www.inkscape.org\/namespaces\/inkscape\" height=\"24\" viewBox=\"0 0 24 24\" width=\"24\" id=\"svg12\" sodipodi:docname=\"icon-platforms.svg\" inkscape:version=\"0.92.1 r15371\"><metadata><\/metadata><defs id=\"defs16\"><\/defs><g id=\"g4\"><rect fill=\"none\" height=\"24\" width=\"24\" x=\"0\" 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elementor-mobile-position-top elementor-widget elementor-widget-icon-box\" data-id=\"37a9dd4\" data-element_type=\"widget\" data-widget_type=\"icon-box.default\">\n\t\t\t\t\t\t\t<div class=\"elementor-icon-box-wrapper\">\n\n\t\t\t\t\t\t<div class=\"elementor-icon-box-icon\">\n\t\t\t\t<span  class=\"elementor-icon\">\n\t\t\t\t<svg xmlns:dc=\"http:\/\/purl.org\/dc\/elements\/1.1\/\" xmlns:cc=\"http:\/\/creativecommons.org\/ns#\" xmlns:rdf=\"http:\/\/www.w3.org\/1999\/02\/22-rdf-syntax-ns#\" xmlns:svg=\"http:\/\/www.w3.org\/2000\/svg\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" xmlns:sodipodi=\"http:\/\/sodipodi.sourceforge.net\/DTD\/sodipodi-0.dtd\" xmlns:inkscape=\"http:\/\/www.inkscape.org\/namespaces\/inkscape\" width=\"24\" height=\"24\" viewBox=\"0 0 24 24\" id=\"svg6\" sodipodi:docname=\"icon-cloud.svg\" inkscape:version=\"0.92.1 r15371\"><metadata><\/metadata><defs id=\"defs10\"><\/defs><path d=\"M0 0h24v24H0z\" fill=\"none\" id=\"path2\"><\/path><path d=\"M19.35 10.04C18.67 6.59 15.64 4 12 4 9.11 4 6.6 5.64 5.35 8.04 2.34 8.36 0 10.91 0 14c0 3.31 2.69 6 6 6h13c2.76 0 5-2.24 5-5 0-2.64-2.05-4.78-4.65-4.96zM14 13v4h-4v-4H7l5-5 5 5h-3z\" id=\"path4\" style=\"fill:#333333\"><\/path><\/svg>\t\t\t\t<\/span>\n\t\t\t<\/div>\n\t\t\t\n\t\t\t\t\t\t<div class=\"elementor-icon-box-content\">\n\n\t\t\t\t\t\t\t\t\t<h3 class=\"elementor-icon-box-title\">\n\t\t\t\t\t\t<span  >\n\t\t\t\t\t\t\tCloud computing\t\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/h3>\n\t\t\t\t\n\t\t\t\t\n\t\t\t<\/div>\n\t\t\t\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-62ce883 elementor-widget elementor-widget-text-editor\" data-id=\"62ce883\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<ul><li><a href=\"https:\/\/aws.amazon.com\/marketplace\/pp\/ARTIFICIAL-INTELLIGENCE-TECHNIQUES-SL-Neural-Desig\/B06XC6ZHDK\">Amazon Web Services (AWS) marketplace<\/a>.<\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"author":122,"featured_media":2755,"template":"","categories":[31],"tags":[36],"class_list":["post-3544","learning","type-learning","status-publish","has-post-thumbnail","hentry","category-user-guide","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 Designer technical features<\/title>\n<meta name=\"description\" content=\"Discover the most innovative technical features of the explainable machine learning platform Neural Designer.\" \/>\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\/user-guide\/technical-features\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta 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