{"id":9439,"date":"2024-08-14T08:00:00","date_gmt":"2024-08-14T06:00:00","guid":{"rendered":"https:\/\/alphaavenue.ai\/?p=9439"},"modified":"2024-10-14T15:02:14","modified_gmt":"2024-10-14T13:02:14","slug":"su-guia-definitiva-sobre-redes-neuronales-aprenda-de-andrej-karpathy","status":"publish","type":"post","link":"https:\/\/alphaavenue.ai\/es\/revista\/aprenda\/su-guia-definitiva-sobre-redes-neuronales-aprenda-de-andrej-karpathy\/","title":{"rendered":"Su gu\u00eda definitiva sobre redes neuronales: Aprenda de Andrej Karpathy"},"content":{"rendered":"\n<p>\u00bfSiempre ha querido construir su propia red neuronal, pero no sab\u00eda por d\u00f3nde empezar? El curso \u00abRedes neuronales: de cero a h\u00e9roe\u00bb de Andrej Karpathy le ayudar\u00e1.<\/p>\n\n<p>En este curso aprender\u00e1 todo lo necesario para comprender e implementar por s\u00ed mismo las redes neuronales modernas. Andrej Karpathy le guiar\u00e1 desde los conceptos b\u00e1sicos hasta los m\u00e1s avanzados, de forma muy pr\u00e1ctica.<\/p>\n\n<h2 class=\"wp-block-heading\">Lo que se aprende<\/h2>\n\n<p><strong>Procesos de retropropagaci\u00f3n y entrenamiento:<\/strong> Comprender\u00e1 los conceptos b\u00e1sicos y los aplicar\u00e1 por s\u00ed mismo.&#13;\n<strong>Modelado del lenguaje:<\/strong> Construya su propio modelo de bigramas y exti\u00e9ndalo a un modelo de transformaci\u00f3n como GPT.&#13;\n<strong>Perceptrones multicapa (MLP):<\/strong> Aprenda a implementar y optimizar un MLP.&#13;\nFunciones de activaci\u00f3n y normalizaci\u00f3n por lotes: descubra t\u00e9cnicas avanzadas para mejorar sus modelos.&#13;\n<strong>Retropropagaci\u00f3n manual:<\/strong> realice la retropropagaci\u00f3n manualmente paso a paso y obtenga informaci\u00f3n m\u00e1s detallada.&#13;\n<strong>WaveNet:<\/strong> desarrolle redes m\u00e1s profundas con estructuras arborescentes.&#13;\n<strong>Modelo GPT:<\/strong> construya su propio transformador generativo preentrenado.&#13;\n<strong>Tokenizador:<\/strong> cree un tokenizador para traducir entre cadenas y tokens.<\/p>\n\n<figure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\r\n<iframe title=\"The spelled-out intro to neural networks and backpropagation: building micrograd\" width=\"800\" height=\"450\" src=\"https:\/\/www.youtube.com\/embed\/VMj-3S1tku0?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe>\r\n<\/div><\/figure>\r\n\n<p>Andrej Karpathy, un destacado experto en el campo del aprendizaje profundo, no solo le ense\u00f1ar\u00e1 lo que necesita saber, sino que tambi\u00e9n le mostrar\u00e1 c\u00f3mo aplicarlo en la pr\u00e1ctica. Con explicaciones detalladas y ejemplos pr\u00e1cticos, progresar\u00e1s r\u00e1pidamente y podr\u00e1s crear tu propia red neuronal.<\/p>\n\n<p>Se requieren conocimientos b\u00e1sicos de matem\u00e1ticas y de programaci\u00f3n en Python.<\/p>\n\n<p>Fuente:&#13;\n<a href=\"https:\/\/karpathy.ai\/zero-to-hero.html\" target=\"_blank\" rel=\"noopener\">https:\/\/karpathy.ai\/zero-to-hero.html<\/a><\/p>\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u00bfSiempre ha querido construir su propia red neuronal, pero no sab\u00eda por d\u00f3nde empezar? El curso \u00abRedes neuronales: de cero a h\u00e9roe\u00bb de Andrej Karpathy le ayudar\u00e1. En este curso aprender\u00e1 todo lo necesario para comprender e implementar por s\u00ed mismo las redes neuronales modernas. Andrej Karpathy le guiar\u00e1 desde los conceptos b\u00e1sicos hasta los [&hellip;]<\/p>\n","protected":false},"author":6,"featured_media":9440,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_uag_custom_page_level_css":"","footnotes":""},"categories":[99],"tags":[],"class_list":["post-9439","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-aprenda"],"acf":[],"calluna_seo":{"plugin":"rank-math","title":"","description":"","focus_keyword":""},"spectra_custom_meta":{"rank_math_internal_links_processed":["1"],"_wpml_media_duplicate":["1"],"_wpml_media_featured":["1"],"_thumbnail_id":["9440"],"_last_translation_edit_mode":["native-editor"],"_oembed_397cf6bc2a8dfba39a67f6299a279f8a":["<iframe title=\"The spelled-out intro to neural networks and backpropagation: building micrograd\" width=\"800\" height=\"450\" src=\"https:\/\/www.youtube.com\/embed\/VMj-3S1tku0?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe>"],"_oembed_time_397cf6bc2a8dfba39a67f6299a279f8a":["1728910929"],"_edit_lock":["1728910935:6"],"_encloseme":["1"],"_edit_last":["6"],"gnpub_modified_count":["1"],"rank_math_schema_NewsArticle":["a:9:{s:8:\"headline\";s:11:\"%seo_title%\";s:11:\"description\";s:17:\"%seo_description%\";s:13:\"datePublished\";s:20:\"%date(Y-m-dTH:i:sP)%\";s:12:\"dateModified\";s:24:\"%modified(Y-m-dTH:i:sP)%\";s:8:\"keywords\";s:10:\"%keywords%\";s:5:\"image\";a:2:{s:5:\"@type\";s:11:\"ImageObject\";s:3:\"url\";s:16:\"%post_thumbnail%\";}s:6:\"author\";a:2:{s:5:\"@type\";s:6:\"Person\";s:4:\"name\";s:6:\"%name%\";}s:5:\"@type\";s:11:\"NewsArticle\";s:8:\"metadata\";a:3:{s:5:\"title\";s:9:\"Art\u00edculo\";s:4:\"type\";s:8:\"template\";s:9:\"isPrimary\";b:1;}}"],"rank_math_schema_VideoObject":["a:12:{s:5:\"@type\";s:11:\"VideoObject\";s:8:\"metadata\";a:8:{s:5:\"title\";s:5:\"Video\";s:4:\"type\";s:8:\"template\";s:9:\"shortcode\";s:15:\"s-670d165602e3b\";s:9:\"isPrimary\";b:1;s:23:\"reviewLocationShortcode\";s:24:\"[rank_math_rich_snippet]\";s:8:\"category\";s:12:\"%categories%\";s:4:\"tags\";s:6:\"%tags%\";s:15:\"isAutoGenerated\";b:1;}s:4:\"name\";s:80:\"The spelled-out intro to neural networks and backpropagation: building micrograd\";s:11:\"description\";s:160:\"This is the most step-by-step spelled-out explanation of backpropagation and training of neural networks. 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Becker","author_link":"https:\/\/alphaavenue.ai\/es\/author\/justus-becker\/"},"uagb_comment_info":0,"uagb_excerpt":"\u00bfSiempre ha querido construir su propia red neuronal, pero no sab\u00eda por d\u00f3nde empezar? El curso \u00abRedes neuronales: de cero a h\u00e9roe\u00bb de Andrej Karpathy le ayudar\u00e1. En este curso aprender\u00e1 todo lo necesario para comprender e implementar por s\u00ed mismo las redes neuronales modernas. 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