{"id":148007,"date":"2022-03-07T17:15:26","date_gmt":"2022-03-07T16:15:26","guid":{"rendered":"https:\/\/multi.datascientest.com\/?p=148007"},"modified":"2023-10-30T17:34:36","modified_gmt":"2023-10-30T16:34:36","slug":"perceptron-que-es-y-para-que-sirve","status":"publish","type":"post","link":"https:\/\/datascientest.com\/es\/perceptron-que-es-y-para-que-sirve","title":{"rendered":"Perceptr\u00f3n: \u00bfqu\u00e9 es y para qu\u00e9 sirve?"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"148007\" class=\"elementor elementor-148007\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-494e8ae elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"494e8ae\" 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-1ec79b0\" data-id=\"1ec79b0\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-3c1782e elementor-widget elementor-widget-text-editor\" data-id=\"3c1782e\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-widget-text-editor.elementor-drop-cap-view-stacked .elementor-drop-cap{background-color:#69727d;color:#fff}.elementor-widget-text-editor.elementor-drop-cap-view-framed .elementor-drop-cap{color:#69727d;border:3px solid;background-color:transparent}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap{margin-top:8px}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap-letter{width:1em;height:1em}.elementor-widget-text-editor .elementor-drop-cap{float:left;text-align:center;line-height:1;font-size:50px}.elementor-widget-text-editor .elementor-drop-cap-letter{display:inline-block}<\/style>\t\t\t\t<h2><strong>Un perceptr\u00f3n es una neurona artificial, indispensable para las redes neuronales del Deep Learning. Descubre su principio, su uso y su importancia en Data Science.<\/strong><\/h2>\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\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-7833af9 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"7833af9\" 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-bc2506e\" data-id=\"bc2506e\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-72bb4af elementor-widget elementor-widget-text-editor\" data-id=\"72bb4af\" data-element_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<p><span style=\"font-weight: 400;\">Un perceptr\u00f3n es una neurona artificial, indispensable para las redes neuronales del <a href=\"https:\/\/datascientest.com\/es\/deep-learning-definicion\">Deep Learning<\/a>. Descubre su principio, su uso y su importancia en Data Science.\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">Para comprender qu\u00e9 es un perceptr\u00f3n, primero hay que entender el concepto de red neuronal artificial. Como seguramente sabes, el cerebro humano est\u00e1 compuesto por miles de millones de neuronas.<\/span><\/p><p><span style=\"font-weight: 400;\">Esas <\/span><strong>neuronas son c\u00e9lulas nerviosas interconectadas<\/strong><span style=\"font-weight: 400;\"> que permiten el tratamiento y la transmisi\u00f3n de se\u00f1ales qu\u00edmicas y el\u00e9ctricas. Las dendritas son ramificaciones que reciben la informaci\u00f3n de otras neuronas. Los n\u00facleos celulares tratan la informaci\u00f3n recibida a partir de las dendritas. Por \u00faltimo, las sinapsis sirven de conexi\u00f3n entre las neuronas.<\/span><\/p><p><span style=\"font-weight: 400;\">Las neuronas artificiales tratan de <\/span><strong>imitar el funcionamiento de las neuronas del cerebro<\/strong><span style=\"font-weight: 400;\">. Se trata de una funci\u00f3n matem\u00e1tica que se basa en un modelo neuronal biol\u00f3gico. Cada neurona recibe datos, los pesa, calcula su suma y presenta un resultado por medio de una funci\u00f3n no lineal.<\/span><\/p><p><span style=\"font-weight: 400;\">Una red neuronal artificial est\u00e1 <\/span><strong>compuesta por m\u00faltiples neuronas artificiales<\/strong><span style=\"font-weight: 400;\">. Los resultados de los c\u00e1lculos se transmiten de una neurona a otra, y cada una conserva un estado interno llamado se\u00f1al de activaci\u00f3n. Las neuronas est\u00e1n conectadas entre s\u00ed por enlaces de conexi\u00f3n por los que circula la informaci\u00f3n sobre los datos introducidos.<\/span><\/p><p><span style=\"font-weight: 400;\">En cada red neuronal, distinguimos la capa de entrada, la capa de salida y las diferentes capas escondidas. <\/span><strong>Los datos se transmiten de una capa a otra<\/strong><span style=\"font-weight: 400;\">.<\/span><\/p>\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\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-7a7aae4 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"7a7aae4\" 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-eed5289\" data-id=\"eed5289\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-97b7c72 elementor-widget elementor-widget-heading\" data-id=\"97b7c72\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-heading-title{padding:0;margin:0;line-height:1}.elementor-widget-heading .elementor-heading-title[class*=elementor-size-]>a{color:inherit;font-size:inherit;line-height:inherit}.elementor-widget-heading .elementor-heading-title.elementor-size-small{font-size:15px}.elementor-widget-heading .elementor-heading-title.elementor-size-medium{font-size:19px}.elementor-widget-heading .elementor-heading-title.elementor-size-large{font-size:29px}.elementor-widget-heading .elementor-heading-title.elementor-size-xl{font-size:39px}.elementor-widget-heading .elementor-heading-title.elementor-size-xxl{font-size:59px}<\/style><h3 class=\"elementor-heading-title elementor-size-default\">\u00bfQu\u00e9 es el perceptr\u00f3n?<\/h3>\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\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-0dc5c0f elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"0dc5c0f\" 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-8e1822d\" data-id=\"8e1822d\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-ff7b774 elementor-widget elementor-widget-text-editor\" data-id=\"ff7b774\" data-element_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<p><span style=\"font-weight: 400;\">En <\/span><strong>1957 Frank Rosenblatt invent\u00f3 el perceptr\u00f3n<\/strong><span style=\"font-weight: 400;\"> en el laboratorio aeron\u00e1utico de Cornell. Bas\u00e1ndose en los primeros conceptos de neuronas artificiales, propuso la \u201cregla de aprendizaje del perceptr\u00f3n\u201d.<\/span><\/p><p><span style=\"font-weight: 400;\">Un <\/span><strong>perceptr\u00f3n es una neurona artificial<\/strong><span style=\"font-weight: 400;\">, y, por tanto, una unidad de red neuronal. El perceptr\u00f3n efect\u00faa c\u00e1lculos para detectar caracter\u00edsticas o tendencias en los datos de entrada.<\/span><\/p><p><span style=\"font-weight: 400;\">Se trata de un <\/span><strong>algoritmo para el aprendizaje supervisado<\/strong><span style=\"font-weight: 400;\"> de clasificadores binarios. Ese algoritmo es el que permite que las neuronas artificiales aprendan y traten los elementos de una serie de datos.<\/span><span style=\"font-weight: 400;\">\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">El perceptr\u00f3n desempe\u00f1a un <\/span><strong>papel esencial en los proyectos de Machine Learning<\/strong><span style=\"font-weight: 400;\">. Se utiliza en gran medida para clasificar datos, o como algoritmo que permite simplificar o supervisar las capacidades de aprendizaje de los clasificadores binarios.<\/span><span style=\"font-weight: 400;\">\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">Recordemos que el aprendizaje supervisado consiste en <\/span><strong>ense\u00f1ar a un algoritmo a hacer predicciones<\/strong><span style=\"font-weight: 400;\">. Para conseguirlo, se alimenta el algoritmo con ayuda de datos que ya est\u00e1n etiquetados correctamente.<\/span><\/p>\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\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-9535b74 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"9535b74\" 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-3a69b0a\" data-id=\"3a69b0a\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-fe36fa7 elementor-align-center elementor-widget elementor-widget-button\" data-id=\"fe36fa7\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"https:\/\/datascientest.com\/es\/formacion-data-scientist\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\"> Saber todo sobre el perceptr\u00f3n y las redes neuronales<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\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\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-d07788b elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"d07788b\" 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-9d6e91b\" data-id=\"9d6e91b\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-a6f59ad elementor-widget elementor-widget-heading\" data-id=\"a6f59ad\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">La regla de aprendizaje del perceptr\u00f3n\n<\/h3>\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\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-0489c6a elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"0489c6a\" 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-3a8e3f0\" data-id=\"3a8e3f0\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-67d24fc elementor-widget elementor-widget-text-editor\" data-id=\"67d24fc\" data-element_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<p><span style=\"font-weight: 400;\">Seg\u00fan la <\/span><strong>Perceptron Learning Rule<\/strong><span style=\"font-weight: 400;\"> (regla de aprendizaje del perceptr\u00f3n), el algoritmo ense\u00f1a autom\u00e1ticamente los coeficientes de peso \u00f3ptimo. Para determinar si una neurona \u201cse enciende\u201d o no, las caracter\u00edsticas de los datos de entrada se multiplican por esos pesos<\/span><\/p><p><span style=\"font-weight: 400;\">El <\/span><strong>perceptr\u00f3n recibe m\u00faltiples se\u00f1ales de entrada<\/strong><span style=\"font-weight: 400;\">. Si la suma de las se\u00f1ales supera un umbral determinado, se produce una se\u00f1al o, por el contrario, no se emite ning\u00fan resultado.<\/span><span style=\"font-weight: 400;\">\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">En el marco del m\u00e9todo de aprendizaje supervisado de Machine Learning, es lo que permite <\/span><strong>predecir la categor\u00eda de una muestra de datos<\/strong><span style=\"font-weight: 400;\">. Por tanto, se trata de un elemento esencial.<\/span><\/p>\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\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-4543930 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"4543930\" 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-d2db096\" data-id=\"d2db096\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-0d7912e elementor-widget elementor-widget-image\" data-id=\"0d7912e\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-widget-image{text-align:center}.elementor-widget-image a{display:inline-block}.elementor-widget-image a img[src$=\".svg\"]{width:48px}.elementor-widget-image img{vertical-align:middle;display:inline-block}<\/style>\t\t\t\t\t\t\t\t\t<figure class=\"wp-caption\">\n\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"800\" height=\"302\" src=\"https:\/\/datascientest.com\/es\/files\/2021\/03\/perceptron-formule.png\" class=\"attachment-large size-large wp-image-55333\" alt=\"formule perceptron\" srcset=\"https:\/\/datascientest.com\/es\/files\/2021\/03\/perceptron-formule.png 817w, https:\/\/datascientest.com\/es\/files\/2021\/03\/perceptron-formule-300x113.png 300w, https:\/\/datascientest.com\/es\/files\/2021\/03\/perceptron-formule-768x290.png 768w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/>\t\t\t\t\t\t\t\t\t\t\t<figcaption class=\"widget-image-caption wp-caption-text\">La f\u00f3rmula del perceptr\u00f3n<\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\t\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\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-f84636a elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"f84636a\" 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-ceeb708\" data-id=\"ceeb708\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-a2bfb70 elementor-widget elementor-widget-heading\" data-id=\"a2bfb70\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">La funci\u00f3n del perceptr\u00f3n<\/h3>\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\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-3369b53 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"3369b53\" 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-8acb5f4\" data-id=\"8acb5f4\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-fd01a5a elementor-widget elementor-widget-text-editor\" data-id=\"fd01a5a\" data-element_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<p><span style=\"font-weight: 400;\">En realidad <\/span><strong>el perceptr\u00f3n es una funci\u00f3n matem\u00e1tica<\/strong><span style=\"font-weight: 400;\">. Los datos de entrada (x) se multiplican por los coeficientes de peso (w). El resultado es un valor.<\/span><\/p><p><span style=\"font-weight: 400;\">Ese <\/span><strong>valor puede ser positivo o negativo<\/strong><span style=\"font-weight: 400;\">. La neurona artificial se activa si el valor es positivo. Solo se activa si el peso calculado de los datos de entrada supera un umbral determinado.<\/span><span style=\"font-weight: 400;\">\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">El <\/span><strong>resultado predicho se compara con el resultado conocido<\/strong><span style=\"font-weight: 400;\">. En caso de diferencia, el error se retropropaga para permitir ajustar los pesos.<\/span><\/p>\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\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-051c9a2 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"051c9a2\" 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-c75afeb\" data-id=\"c75afeb\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-1bf670d elementor-widget elementor-widget-heading\" data-id=\"1bf670d\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Perceptr\u00f3n con capa \u00fanica frente multicapas\n<\/h3>\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\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-0aad860 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"0aad860\" 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-ffc0465\" data-id=\"ffc0465\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-f340413 elementor-widget elementor-widget-text-editor\" data-id=\"f340413\" data-element_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<p><span style=\"font-weight: 400;\">Distinguimos <\/span><strong>dos tipos de perceptr\u00f3n : con capa \u00fanica y multicapas<\/strong><span style=\"font-weight: 400;\">. Un perceptr\u00f3n con capa \u00fanica puede ense\u00f1ar \u00fanicamente funciones lineales separables.<\/span><span style=\"font-weight: 400;\">\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">Un perceptr\u00f3n multicapas, tambi\u00e9n llamado <\/span><strong>red neuronal \u201cfeed-forward\u201d<\/strong><span style=\"font-weight: 400;\"> permite superar ese l\u00edmite y ofrece una potencia de c\u00e1lculo superior. Tambi\u00e9n es posible combinar varios perceptrones para crear un mecanismo poderoso.<\/span><\/p>\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\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-b2d6670 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"b2d6670\" 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-af01ab0\" data-id=\"af01ab0\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-793b7e7 elementor-widget elementor-widget-heading\" data-id=\"793b7e7\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Perceptr\u00f3n y redes neuronales\n<\/h3>\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\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-d320e6f elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"d320e6f\" 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-ed86be9\" data-id=\"ed86be9\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-984cde1 elementor-widget elementor-widget-text-editor\" data-id=\"984cde1\" data-element_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<p><span style=\"font-weight: 400;\">En resumidas cuentas, una red neuronal es un conjunto de perceptrones interconectados. Su funcionamiento se basa en operaciones de multiplicaci\u00f3n entre dos componentes importantes: las entradas de datos (input) y el peso.<\/span><span style=\"font-weight: 400;\">\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">La suma de esa multiplicaci\u00f3n se transmite a una funci\u00f3n de activaci\u00f3n, que determina <\/span><strong>un valor binario de 0 o 1<\/strong><b>.<\/b><span style=\"font-weight: 400;\"> Lo que permite clasificar los datos.<\/span><\/p>\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\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-b8a96a3 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"b8a96a3\" 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-4631bd2\" data-id=\"4631bd2\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-f1f7577 elementor-align-center elementor-widget elementor-widget-button\" data-id=\"f1f7577\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"https:\/\/datascientest.com\/es\/formacion-data-analyst\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Empezar un curso de Data Analyst<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\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\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-cf70ed0 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"cf70ed0\" 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-f9b2dae\" data-id=\"f9b2dae\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-6f1ce8f elementor-widget elementor-widget-heading\" data-id=\"6f1ce8f\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">\u00bfC\u00f3mo aprender a utilizar el perceptr\u00f3n?<\/h3>\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\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-db459ce elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"db459ce\" 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-7f92cc8\" data-id=\"7f92cc8\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-3047599 elementor-widget elementor-widget-text-editor\" data-id=\"3047599\" data-element_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<p><span style=\"font-weight: 400;\">Para aprender a dominar el perceptr\u00f3n, y comprender todo sobre Machine Learning, Deep Learning y redes neuronales, puedes apuntarte a<\/span><a href=\"https:\/\/datascientest.com\/es\/nuestros-cursos-de-data\"> <span style=\"font-weight: 400;\">los cursos de DataScientest<\/span><\/a><span style=\"font-weight: 400;\">.<\/span><\/p><p><span style=\"font-weight: 400;\">El Machine Learning, y los diferentes algoritmos y metodolog\u00edas son el n\u00facleo de <\/span><strong>nuestros cursos de Data Analyst y Data Scientist<\/strong><span style=\"font-weight: 400;\">. Tambi\u00e9n proponemos un curso de Machine Learning Engineer para aprender a poner en funcionamiento los modelos.<\/span><\/p><p><span style=\"font-weight: 400;\">\u00a0<\/span><span style=\"font-weight: 400;\">Estos diferentes recorridos te permitir\u00e1n adquirir todas las competencias exigidas para ejercer las profesiones de Data Analyst o Data Scientist. Adem\u00e1s de Machine Learning, tambi\u00e9n aprender\u00e1s a dominar <\/span><strong>la programaci\u00f3n en Python, las bases de datos y la Data Visualization<\/strong><span style=\"font-weight: 400;\">.<\/span><span style=\"font-weight: 400;\">\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">Todos nuestros cursos tienen un <\/span><strong>enfoque innovador de \u201cblended learning\u201d<\/strong><span style=\"font-weight: 400;\"> a medio camino entre presencial y en l\u00ednea. Pueden hacerse en formaci\u00f3n continua o en bootcamp en solo pocas semanas.<\/span><\/p><p><span style=\"font-weight: 400;\">Los alumnos reciben un <\/span><strong>diploma certificado por la Universidad de La Sorbonne<\/strong><span style=\"font-weight: 400;\">. Entre los antiguos alumnos, un 93 % encontr\u00f3 trabajo inmediatamente despu\u00e9s de la obtenci\u00f3n del diploma. \u00a1No esperes m\u00e1s y descubre nuestros cursos!<\/span><\/p>\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\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-2db5d05 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"2db5d05\" 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-539e650\" data-id=\"539e650\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-7e0ad76 elementor-align-center elementor-widget elementor-widget-button\" data-id=\"7e0ad76\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"https:\/\/datascientest.com\/es\/formacion-data-scientist\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Descubrir el curso de Data Scientist<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\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\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-9179a8f elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"9179a8f\" 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-4f08f1c\" data-id=\"4f08f1c\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-e674fd8 elementor-widget elementor-widget-text-editor\" data-id=\"e674fd8\" data-element_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<h2><span style=\"font-weight: 400;\">Ya sabes todo sobre el perceptr\u00f3n. Descubre nuestros dosieres completos<\/span><a href=\"https:\/\/datascientest.com\/es\/machine-learning-definicion-funcionamiento-usos\"><span style=\"font-weight: 400;\"> sobre Machine Learning<\/span><\/a><span style=\"font-weight: 400;\">.<\/span><\/h2>\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\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-1b2efe1 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"1b2efe1\" 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-d994593\" data-id=\"d994593\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-a78c4e3 elementor-widget elementor-widget-html\" data-id=\"a78c4e3\" data-element_type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<script type=\"application\/ld+json\">\r\n{\r\n  \"@context\": \"https:\/\/schema.org\",\r\n  \"@type\": \"FAQPage\",\r\n  \"mainEntity\": [{\r\n    \"@type\": \"Question\",\r\n    \"name\": \"\u00bfQu\u00e9 es el perceptr\u00f3n?\",\r\n    \"acceptedAnswer\": {\r\n      \"@type\": \"Answer\",\r\n      \"text\": \"Un perceptr\u00f3n es una neurona artificial, y, por tanto, una unidad de red neuronal. El perceptr\u00f3n efect\u00faa c\u00e1lculos para detectar caracter\u00edsticas o tendencias en los datos de entrada.\"\r\n    }\r\n  },{\r\n    \"@type\": \"Question\",\r\n    \"name\": \"La regla de aprendizaje del perceptr\u00f3n\",\r\n    \"acceptedAnswer\": {\r\n      \"@type\": \"Answer\",\r\n      \"text\": \"Seg\u00fan la Perceptron Learning Rule (regla de aprendizaje del perceptr\u00f3n), el algoritmo ense\u00f1a autom\u00e1ticamente los coeficientes de peso \u00f3ptimo. Para determinar si una neurona \u201cse enciende\u201d o no, las caracter\u00edsticas de los datos de entrada se multiplican por esos pesos.\"\r\n    }\r\n  },{\r\n    \"@type\": \"Question\",\r\n    \"name\": \"\u00bfC\u00f3mo aprender a utilizar el perceptr\u00f3n?\",\r\n    \"acceptedAnswer\": {\r\n      \"@type\": \"Answer\",\r\n      \"text\": \"Para aprender a dominar el perceptr\u00f3n, y comprender todo sobre Machine Learning, Deep Learning y redes neuronales, puedes apuntarte a los cursos de DataScientest.\"\r\n    }\r\n  }]\r\n}\r\n<\/script>\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\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Un perceptr\u00f3n es una neurona artificial, indispensable para las redes neuronales del Deep Learning. Descubre su principio, su uso y su importancia en Data Science. Un perceptr\u00f3n es una neurona artificial, indispensable para las redes neuronales del Deep Learning. Descubre su principio, su uso y su importancia en Data Science.&nbsp; Para comprender qu\u00e9 es un [&hellip;]<\/p>\n","protected":false},"author":45,"featured_media":62649,"comment_status":"open","ping_status":"open","sticky":false,"template":"elementor_theme","format":"standard","meta":{"content-type":"","inline_featured_image":false},"categories":[2427],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v21.7 (Yoast SEO v21.7) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Perceptron : qu&#039;est-ce que c&#039;est et \u00e0 quoi \u00e7a sert ?<\/title>\n<meta name=\"description\" content=\"Un Perceptron est un neurone artificiel, indispensable pour les r\u00e9seaux de neurones du Deep Learning. 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