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{"id":4452,"date":"2021-02-02T21:11:00","date_gmt":"2021-02-03T00:11:00","guid":{"rendered":"https:\/\/lumesolutions.com\/redes-neurais-convolucionais-copy\/"},"modified":"2021-03-01T10:18:47","modified_gmt":"2021-03-01T13:18:47","slug":"beneficios-redes-neurais","status":"publish","type":"post","link":"https:\/\/lumesolutions.com\/beneficios-redes-neurais\/","title":{"rendered":"Benef\u00edcios das Redes Neurais"},"content":{"rendered":"\t\t
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Not\u00edcias<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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As redes neurais ganharam destaque, por causa de seus benef\u00edcios. Os modelos podem ser considerados como aproximadores universais, pois s\u00e3o capazes de representar at\u00e9 em problemas n\u00e3o lineares rela\u00e7\u00f5es entre vari\u00e1veis de entrada e de sa\u00edda. Em problemas de classifica\u00e7\u00e3o as redes s\u00e3o capazes, inclusive, de fornecer informa\u00e7\u00f5es sobre a categoria de interesse, assim como sua confian\u00e7a na decis\u00e3o tomada. Gra\u00e7as ao processamento paralelo o conhecimento \u00e9 armazenado por toda a extens\u00e3o de suas conex\u00f5es, o que assegura sua robustez. S\u00e3o consideradas um aproximador universal, j\u00e1 que por meio de uma mesma nota\u00e7\u00e3o e forma de c\u00e1lculo, pode-se solucionar problemas nas mais diversas \u00e1reas de conhecimento. Por fim, o fato de ter sido motivada pelo funcionamento do c\u00e9rebro humano, provou-se uma maneira eficiente de processamento paralelo, tolerante a falhas e r\u00e1pido.

#inteligenciaartificial<\/a>\u00a0#ia<\/a>\u00a0#industria4ponto0<\/a>\u00a0#industria4_0<\/a>\u00a0#redesneurais<\/a>\u00a0#machinelearning<\/a><\/p><\/div><\/div><\/div>\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Link: <\/strong>https:\/\/www.linkedin.com\/feed\/update\/urn:li:activity:6762497801692700672<\/a><\/p>\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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\n\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\tInd\u00fastria 4.0<\/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\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t
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\n\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\tIntelig\u00eancia Artificial<\/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\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t
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\n\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\tRedes Neurais<\/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\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t
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\n\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\tMachine Learning<\/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\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"

As redes neurais ganharam destaque, por causa de seus benef\u00edcios. Os modelos podem ser considerados como aproximadores universais, pois s\u00e3o capazes de representar at\u00e9 em problemas n\u00e3o lineares rela\u00e7\u00f5es entre vari\u00e1veis de entrada e de sa\u00edda. <\/p>\n","protected":false},"author":3,"featured_media":4453,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[37],"tags":[62,42,35,64],"uagb_featured_image_src":{"full":["https:\/\/lumesolutions.com\/wp-content\/uploads\/2021\/02\/Beneficios-Redes-Neurais.jpg",1259,1260,false],"thumbnail":["https:\/\/lumesolutions.com\/wp-content\/uploads\/2021\/02\/Beneficios-Redes-Neurais-150x150.jpg",150,150,true],"medium":["https:\/\/lumesolutions.com\/wp-content\/uploads\/2021\/02\/Beneficios-Redes-Neurais-300x300.jpg",300,300,true],"medium_large":["https:\/\/lumesolutions.com\/wp-content\/uploads\/2021\/02\/Beneficios-Redes-Neurais-768x769.jpg",768,769,true],"large":["https:\/\/lumesolutions.com\/wp-content\/uploads\/2021\/02\/Beneficios-Redes-Neurais-1024x1024.jpg",1024,1024,true],"1536x1536":["https:\/\/lumesolutions.com\/wp-content\/uploads\/2021\/02\/Beneficios-Redes-Neurais.jpg",1259,1260,false],"2048x2048":["https:\/\/lumesolutions.com\/wp-content\/uploads\/2021\/02\/Beneficios-Redes-Neurais.jpg",1259,1260,false]},"uagb_author_info":{"display_name":"Weslley Poleto","author_link":"https:\/\/lumesolutions.com\/author\/weslley\/"},"uagb_comment_info":4,"uagb_excerpt":"As redes neurais ganharam destaque, por causa de seus benef\u00edcios. Os modelos podem ser considerados como aproximadores universais, pois s\u00e3o capazes de representar at\u00e9 em problemas n\u00e3o lineares rela\u00e7\u00f5es entre vari\u00e1veis de entrada e de sa\u00edda.","_links":{"self":[{"href":"https:\/\/lumesolutions.com\/wp-json\/wp\/v2\/posts\/4452"}],"collection":[{"href":"https:\/\/lumesolutions.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/lumesolutions.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/lumesolutions.com\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/lumesolutions.com\/wp-json\/wp\/v2\/comments?post=4452"}],"version-history":[{"count":5,"href":"https:\/\/lumesolutions.com\/wp-json\/wp\/v2\/posts\/4452\/revisions"}],"predecessor-version":[{"id":4617,"href":"https:\/\/lumesolutions.com\/wp-json\/wp\/v2\/posts\/4452\/revisions\/4617"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/lumesolutions.com\/wp-json\/wp\/v2\/media\/4453"}],"wp:attachment":[{"href":"https:\/\/lumesolutions.com\/wp-json\/wp\/v2\/media?parent=4452"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lumesolutions.com\/wp-json\/wp\/v2\/categories?post=4452"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lumesolutions.com\/wp-json\/wp\/v2\/tags?post=4452"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}