{"id":40004,"date":"2020-09-18T19:45:00","date_gmt":"2020-09-19T00:45:00","guid":{"rendered":"https:\/\/blogs.uninter.edu.mx\/ESCAT\/?p=40004"},"modified":"2020-09-17T12:32:25","modified_gmt":"2020-09-17T17:32:25","slug":"deep-learning-por-que-te-conviene","status":"publish","type":"post","link":"https:\/\/blogs.uninter.edu.mx\/ESCAT\/index.php\/deep-learning-por-que-te-conviene\/","title":{"rendered":"Deep Learning \u00bfpor qu\u00e9 te conviene? #InteligenciaArtificial"},"content":{"rendered":"\n
\"ESCAT\"<\/a><\/figure><\/div>\n\n\n\n

El Deep Learning se podr\u00eda considerar heredera de aquellos pioneros que ya preconizan los avances de los que ya disfrutamos, no obstante los primeros experimentos no son exactamente como imaginaban los pioneros.<\/p>\n\n\n\n\n\n\n\n

\"Deep<\/figure><\/div>\n\n\n\n

A partir de la d\u00e9cada de los 50 los laboratorios de investigaci\u00f3n cient\u00edfica comenzaron a trabajar sobre la Inteligencia Artificial<\/strong>.<\/p>\n\n\n\n

La Neurociencia y el aprendizaje autom\u00e1tico<\/strong><\/h4>\n\n\n\n

Ha permitido descubrir centros espec\u00edficos del lenguaje, redes especializadas como inclinaciones o bordes, simetr\u00eda, e incluso reconocimiento de rostros a trav\u00e9s de la expresi\u00f3n emocional.<\/p>\n\n\n\n

Trata de ser aplicado a los modelos computacionales con la intenci\u00f3n de imitar las caracter\u00edsticas del sistema nervioso desde un punto de vista arquitect\u00f3nico, lo que permite que se especialicen en la detecci\u00f3n de caracter\u00edsticas ocultas en los datos.<\/p>\n\n\n\n

\"Deep<\/figure>\n\n\n\n

Los esfuerzos primigenios han dado como resultado el uso de herramientas en muy diversas \u00e1reas.
En las empresas utilizan el Big Data<\/em>, en lo educacional y formativo tienen la presencia del Machine Learning y el Deep Learning.<\/em><\/p>\n\n\n\n

El Deep Learning<\/strong><\/h3>\n\n\n\n

Entendemos por Deep Learning a la experiencia del aprendizaje autom\u00e1tico no supervisado que busca una aproximaci\u00f3n m\u00e1xima a la percepci\u00f3n humana.<\/p>\n\n\n\n

Para ello, se crean capas de unidades de proceso, que vendr\u00edan a ser neuronas artificiales. Dichas capas est\u00e1n especializadas en la detecci\u00f3n de caracter\u00edsticas existentes en los objetos que se perciben.<\/p>\n\n\n\n

Con el enfoque del aprendizaje profundo se proporciona una mejora en la comparativa con algoritmos tradicionales. Es decir, se crean entornos artificiales de c\u00f3digo.<\/p>\n\n\n\n

La Neurociencia ha permitido el lenguaje, redes especializadas en la detecci\u00f3n de aspectos visibles como inclinaciones o bordes, as\u00ed como simetr\u00eda, e incluso reconocimiento de rostros a trav\u00e9s de la expresi\u00f3n emocional.<\/p>\n\n\n\n

Con este novedoso enfoque se obtienen mejoras sustanciales en la obtenci\u00f3n de resultados en tareas de percepci\u00f3n computacional.
Por eso, m\u00e1s all\u00e1 de la integraci\u00f3n de procesos psicol\u00f3gicos humanos en el aprendizaje o el uso del lenguaje, se busca una computaci\u00f3n cognitiva que se puede expandir a aplicaciones m\u00faltiples en el ecosistema digital.<\/p>\n\n\n\n

De esta forma,<\/a> acciones como el razonamiento, la motivaci\u00f3n, la emoci\u00f3n e incluso la atenci\u00f3n pueden formar parte de los sistemas artificiales para que se acerquen a un entendimiento cada vez m\u00e1s humano.<\/p>\n\n\n\n

Fuente: Universia<\/a><\/h6>\n\n\n\n

M\u00e1s noticias sobre educaci\u00f3n…<\/a><\/p>\n\n\n\n

\"Universidad<\/a><\/figure><\/div>\n\n\n\n

<\/p>\n","protected":false},"excerpt":{"rendered":"

El Deep Learning se podr\u00eda considerar heredera de aquellos pioneros que ya preconizan los avances de los que ya disfrutamos, no obstante los primeros experimentos no son exactamente como imaginaban los pioneros.<\/p>\n","protected":false},"author":22,"featured_media":40007,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[26],"tags":[64,63,1850,317,32,1282,1851,31,37],"class_list":["post-40004","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-noticias","tag-alumnos","tag-aprendizaje","tag-deep-learning","tag-docentes","tag-escat","tag-inteligencia-artificial","tag-neurociencia","tag-uninter","tag-universidad-internacional"],"yoast_head":"\r\nDeep Learning \u00bfpor qu\u00e9 te conviene? 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