{"id":1598,"date":"2023-11-02T09:37:44","date_gmt":"2023-11-02T08:37:44","guid":{"rendered":"https:\/\/ia4legos.umh.es\/?page_id=1598"},"modified":"2023-12-01T10:55:56","modified_gmt":"2023-12-01T09:55:56","slug":"dl-iasac","status":"publish","type":"page","link":"https:\/\/unidigital.umh.es\/en\/dl-iasac\/","title":{"rendered":"<span lang=\"es\">(Espa\u00f1ol) DL IASAC<\/span>"},"content":{"rendered":"<p>[et_pb_section fb_built=&#8221;1&#8243; _builder_version=&#8221;4.17.4&#8243; _module_preset=&#8221;default&#8221; background_color=&#8221;RGBA(255,255,255,0)&#8221; background_image=&#8221;https:\/\/unidigital.umh.es\/files\/2023\/11\/city-3213676_1920.jpg&#8221; transform_scale_tablet=&#8221;&#8221; transform_scale_phone=&#8221;&#8221; transform_scale_last_edited=&#8221;on|tablet&#8221; transform_translate_tablet=&#8221;0px|-60px&#8221; transform_translate_phone=&#8221;0px|-60px&#8221; transform_translate_last_edited=&#8221;on|tablet&#8221; transform_translate_linked_tablet=&#8221;off&#8221; 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background_enable_color_phone=&#8221;on&#8221; transform_styles_tablet=&#8221;&#8221; transform_styles_phone=&#8221;&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.17.4&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.17.4&#8243; _module_preset=&#8221;default&#8221; text_font=&#8221;Overpass||||||||&#8221; text_text_color=&#8221;#2E2E2E&#8221; text_font_size=&#8221;30px&#8221; text_line_height=&#8221;1.8em&#8221; header_font=&#8221;Overpass||||||||&#8221; header_text_align=&#8221;left&#8221; header_font_size=&#8221;45px&#8221; header_line_height=&#8221;1.1em&#8221; header_2_font=&#8221;Overpass||||||||&#8221; background_color=&#8221;RGBA(255,255,255,0)&#8221; transform_scale_tablet=&#8221;&#8221; transform_scale_phone=&#8221;&#8221; transform_scale_last_edited=&#8221;on|phone&#8221; transform_translate_tablet=&#8221;&#8221; transform_translate_phone=&#8221;0px|60px&#8221; transform_translate_last_edited=&#8221;on|phone&#8221; transform_translate_linked_phone=&#8221;off&#8221; transform_rotate_tablet=&#8221;&#8221; transform_rotate_phone=&#8221;&#8221; transform_rotate_last_edited=&#8221;on|phone&#8221; transform_skew_tablet=&#8221;&#8221; transform_skew_phone=&#8221;&#8221; transform_skew_last_edited=&#8221;on|phone&#8221; transform_origin_tablet=&#8221;&#8221; transform_origin_phone=&#8221;&#8221; transform_origin_last_edited=&#8221;on|phone&#8221; transform_styles_last_edited=&#8221;on|phone&#8221; width=&#8221;100%&#8221; width_tablet=&#8221;65%&#8221; width_phone=&#8221;100%&#8221; width_last_edited=&#8221;on|phone&#8221; max_width_tablet=&#8221;&#8221; max_width_phone=&#8221;100%&#8221; max_width_last_edited=&#8221;on|phone&#8221; module_alignment=&#8221;center&#8221; custom_padding=&#8221;||39px|||&#8221; transform_styles_tablet=&#8221;&#8221; transform_styles_phone=&#8221;&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>&nbsp;<\/p>\n<h1><span style=\"color: #ffffff;\"><b>DL IASAC<\/b><\/span><\/h1>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=&#8221;1_3,1_3,1_3&#8243; 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transform_origin_tablet=&#8221;&#8221; transform_origin_phone=&#8221;&#8221; transform_origin_last_edited=&#8221;on|phone&#8221; transform_styles_last_edited=&#8221;on|phone&#8221; width=&#8221;90%&#8221; max_width_tablet=&#8221;30%&#8221; max_width_phone=&#8221;45%&#8221; max_width_last_edited=&#8221;on|phone&#8221; module_alignment=&#8221;center&#8221; transform_styles_tablet=&#8221;&#8221; transform_styles_phone=&#8221;&#8221; global_colors_info=&#8221;{}&#8221;][\/et_pb_image][\/et_pb_column][et_pb_column type=&#8221;1_3&#8243; _builder_version=&#8221;4.17.4&#8243; _module_preset=&#8221;default&#8221; transform_scale_tablet=&#8221;&#8221; transform_scale_phone=&#8221;&#8221; transform_scale_last_edited=&#8221;on|tablet&#8221; transform_translate_tablet=&#8221;50px|-18px&#8221; transform_translate_phone=&#8221;0px|-10px&#8221; transform_translate_last_edited=&#8221;on|tablet&#8221; transform_translate_linked_tablet=&#8221;off&#8221; transform_rotate_tablet=&#8221;&#8221; transform_rotate_phone=&#8221;&#8221; 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transform_translate_linked=&#8221;off&#8221; transform_rotate_tablet=&#8221;&#8221; transform_rotate_phone=&#8221;&#8221; transform_rotate_last_edited=&#8221;on|phone&#8221; transform_skew_tablet=&#8221;&#8221; transform_skew_phone=&#8221;&#8221; transform_skew_last_edited=&#8221;on|phone&#8221; transform_origin_tablet=&#8221;&#8221; transform_origin_phone=&#8221;&#8221; transform_origin_last_edited=&#8221;on|phone&#8221; transform_styles_last_edited=&#8221;on|phone&#8221; width=&#8221;80%&#8221; width_tablet=&#8221;80%&#8221; width_phone=&#8221;45%&#8221; width_last_edited=&#8221;on|phone&#8221; max_width_tablet=&#8221;30%&#8221; max_width_phone=&#8221;30%&#8221; max_width_last_edited=&#8221;on|tablet&#8221; module_alignment=&#8221;center&#8221; transform_styles_tablet=&#8221;&#8221; transform_styles_phone=&#8221;&#8221; global_colors_info=&#8221;{}&#8221;][\/et_pb_image][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=&#8221;1&#8243; _builder_version=&#8221;4.17.4&#8243; _module_preset=&#8221;default&#8221; custom_padding=&#8221;37px||||false|false&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_row _builder_version=&#8221;4.17.4&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.17.4&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.17.4&#8243; _module_preset=&#8221;default&#8221; custom_padding=&#8221;4px||4px|||&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h1 style=\"text-align: center;\"><span style=\"color: #bf5800;\"><strong>CONTENIDOS DEEP LEARNING<\/strong><\/span><\/h1>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=&#8221;1_2,1_2&#8243; _builder_version=&#8221;4.17.4&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;1_2&#8243; _builder_version=&#8221;4.17.4&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.17.4&#8243; _module_preset=&#8221;default&#8221; header_2_font=&#8221;Signika||||||||&#8221; header_2_font_size=&#8221;20px&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h2>M\u00f3dulo 1. Introducci\u00f3n<\/h2>\n<p style=\"padding-left: 40px;\"><span style=\"color: #bf5800;\"><a href=\"https:\/\/unidigital.umh.es\/introduccion-al-aprendizaje-profundo\/\" style=\"color: #bf5800;\">Unidad 1.1 Introducci\u00f3n al aprendizaje profundo<\/a><\/span><\/p>\n<p style=\"padding-left: 80px;\"><span style=\"color: #bf5800;\"><a href=\"https:\/\/colab.research.google.com\/drive\/1Xln72Y1SMPWO11uta7LM2J_T3R9BSQXW#scrollTo=-7whhErFzY9J\" target=\"_blank\" rel=\"noopener\" style=\"color: #bf5800;\">Tema 1. Fundamentos del aprendizaje profundo<\/a><\/span><\/p>\n<p style=\"padding-left: 40px;\"><span style=\"color: #bf5800;\"><a href=\"https:\/\/unidigital.umh.es\/proceso-de-entrenamiento-de-la-red-neuronal\/\" style=\"color: #bf5800;\">Unidad 1.2 Proceso de entrenamiento de la red neuronal<\/a><\/span><\/p>\n<p style=\"padding-left: 80px;\"><span style=\"color: #bf5800;\"><a href=\"https:\/\/colab.research.google.com\/drive\/1QEgSKfHOXilzKdgFoJh2nfLBPgOdt61P\" target=\"_blank\" rel=\"noopener\" style=\"color: #bf5800;\">Tema 2. Proceso de entrenamiento de la red neuronal I<\/a><a href=\"https:\/\/colab.research.google.com\/drive\/1haevJaEjeLkQ-5BbMhMXp0f8pc0gzNMY#scrollTo=-7whhErFzY9J\" target=\"_blank\" rel=\"noopener\" style=\"color: #bf5800;\"><\/a><\/span><\/p>\n<p style=\"padding-left: 80px;\"><span style=\"color: #bf5800;\"><a href=\"https:\/\/colab.research.google.com\/drive\/19tphb9dwdGOLVUJkvpd3rAEV9LbP5gc3\" target=\"_blank\" rel=\"noopener\" style=\"color: #bf5800;\">Tema 3. Proceso de entrenamiento de la red neuronal II<\/a><\/span><\/p>\n<p>[\/et_pb_text][\/et_pb_column][et_pb_column type=&#8221;1_2&#8243; _builder_version=&#8221;4.17.4&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.17.4&#8243; _module_preset=&#8221;default&#8221; header_2_font=&#8221;Signika||||||||&#8221; header_2_font_size=&#8221;20px&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h2>M\u00f3dulo 2. Redes Multicapa Densa<\/h2>\n<p style=\"padding-left: 40px;\"><span style=\"color: #bf5800;\"><a href=\"https:\/\/unidigital.umh.es\/api-keras-para-redes-multicapa-densas\/\" style=\"color: #bf5800;\">Unidad 2.1 API Keras para redes multicapa densas<\/a><\/span><\/p>\n<p style=\"padding-left: 80px;\"><span style=\"color: #bf5800;\"><a href=\"https:\/\/colab.research.google.com\/drive\/1__iLgP1FgfqwCOMZyR1Ao7gMckvhvy7a\" target=\"_blank\" rel=\"noopener\" style=\"color: #bf5800;\">Tema 4. Introducci\u00f3n<\/a><\/span><\/p>\n<p style=\"padding-left: 80px;\"><span style=\"color: #bf5800;\"><a href=\"https:\/\/colab.research.google.com\/drive\/1a9Btl5wFX9hukGMVRhOHkA-4ypVD8cim\" target=\"_blank\" rel=\"noopener\" style=\"color: #bf5800;\">Tema 5. Par\u00e1metros e hiperpar\u00e1metros de la red<\/a><\/span><\/p>\n<p style=\"padding-left: 80px;\"><span style=\"color: #bf5800;\"><a href=\"https:\/\/colab.research.google.com\/drive\/1Fx8a5r-JlYIt5w2xsQi8NyU0pkcUU_2q\" target=\"_blank\" rel=\"noopener\" style=\"color: #bf5800;\">Tema 6. Aplicaciones pr\u00e1cticas<\/a><\/span><\/p>\n<p>&nbsp;<\/p>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=&#8221;1_2,1_2&#8243; _builder_version=&#8221;4.17.4&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;1_2&#8243; _builder_version=&#8221;4.17.4&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.17.4&#8243; _module_preset=&#8221;default&#8221; header_2_font=&#8221;Signika||||||||&#8221; header_2_font_size=&#8221;20px&#8221; custom_padding=&#8221;||0px|||&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h2>M\u00f3dulo 3. Redes Convolucionales<\/h2>\n<p style=\"padding-left: 40px;\"><span style=\"color: #bf5800;\"><a href=\"https:\/\/unidigital.umh.es\/api-keras-para-redes-convolucionales\/\" style=\"color: #bf5800;\">Unidad 3.1 API Keras para redes convolucionales I<\/a><\/span><\/p>\n<p style=\"padding-left: 80px;\"><span style=\"color: #bf5800;\"><a href=\"https:\/\/colab.research.google.com\/drive\/1vMDZMzLgIxqJuiVLvCIV0Z2eihqUx_gU\" target=\"_blank\" rel=\"noopener\" style=\"color: #bf5800;\">Tema 7. An\u00e1lisis de im\u00e1genes I<\/a><\/span><\/p>\n<p style=\"padding-left: 80px;\"><span style=\"color: #bf5800;\"><a href=\"https:\/\/colab.research.google.com\/drive\/1SfO-jf2giC__fbGbBDqS6qRSiuO4wHPq\" target=\"_blank\" rel=\"noopener\" style=\"color: #bf5800;\">Tema 8. An\u00e1lisis de im\u00e1genes II<\/a><\/span><\/p>\n<p style=\"padding-left: 80px;\"><span style=\"color: #bf5800;\"><a href=\"https:\/\/colab.research.google.com\/drive\/19yf_rEsy5X0qcphiArQfuphDmcmkmg-D\" target=\"_blank\" rel=\"noopener\" style=\"color: #bf5800;\">Tema 9. An\u00e1lisis de im\u00e1genes III<\/a><\/span><span style=\"color: #bf5800;\"><\/span><\/p>\n<p style=\"padding-left: 40px;\"><span style=\"color: #bf5800;\"><a href=\"https:\/\/unidigital.umh.es\/api-keras-para-redes-convolucionales-ii\/\" style=\"color: #bf5800;\">Unidad 3.2 API Keras para redes convolucionales II<\/a><\/span><\/p>\n<p style=\"padding-left: 80px;\"><span style=\"color: #bf5800;\"><a href=\"https:\/\/colab.research.google.com\/drive\/1vlMmhfKdWxiRT8Mn7wZDHOvX0f0U301L\" target=\"_blank\" rel=\"noopener\" style=\"color: #bf5800;\">Tema 10. Visualizaci\u00f3n como aprenden las covnets<\/a><\/span><\/p>\n<p style=\"padding-left: 80px;\"><span style=\"color: #bf5800;\"><a href=\"https:\/\/colab.research.google.com\/drive\/1g25_gUD3Bj5BgA4qnwjQyR0qBKxwNpd3\" target=\"_blank\" rel=\"noopener\" style=\"color: #bf5800;\">Tema 11. Redes preentrenadas<\/a><\/span><\/p>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.17.4&#8243; _module_preset=&#8221;default&#8221; header_2_font=&#8221;Signika||||||||&#8221; header_2_font_size=&#8221;20px&#8221; custom_padding=&#8221;||0px|||&#8221; hover_enabled=&#8221;0&#8243; global_colors_info=&#8221;{}&#8221; sticky_enabled=&#8221;0&#8243;]<\/p>\n<h2>M\u00f3dulo 5. Redes Neuronales<\/h2>\n<p style=\"padding-left: 40px;\"><span style=\"color: #bf5800;\"><a href=\"https:\/\/unidigital.umh.es\/redes-neuronales\/\" style=\"color: #bf5800;\">Unidad 5.1 API Keras para redes neuronales I<\/a><\/span><\/p>\n<p style=\"padding-left: 80px;\"><span style=\"color: #bf5800;\"><a href=\"https:\/\/colab.research.google.com\/drive\/1VF9scFkcGZ_yA45LqlxpTqpCDNcbpT3x\" target=\"_blank\" rel=\"noopener\" style=\"color: #bf5800;\">Tema 14. Introducci\u00f3n y modelos iniciales<\/a><\/span><\/p>\n<p style=\"padding-left: 80px;\"><span style=\"color: #bf5800;\"><a href=\"https:\/\/colab.research.google.com\/drive\/11952eiDSdC7j23RMd5xnkDA0iu1mO27W\" target=\"_blank\" rel=\"noopener\" style=\"color: #bf5800;\">Tema\u00a015. Transformers<\/a><\/span><\/p>\n<p style=\"padding-left: 80px;\"><span style=\"color: #bf5800;\"><a href=\"https:\/\/colab.research.google.com\/drive\/1x_IWsIov9xau40Y259wTc5_TXiVzBpCG\" target=\"_blank\" rel=\"noopener\" style=\"color: #bf5800;\">Tema 16. Aprendizaje secuencia a secuencia<\/a><\/span><\/p>\n<p style=\"padding-left: 40px;\"><span style=\"color: #bf5800;\"><a href=\"https:\/\/unidigital.umh.es\/redes-neuronales-2\/\" style=\"color: #bf5800;\">Unidad 5.2 API Keras para redes neuronales II<\/a><\/span><\/p>\n<p style=\"padding-left: 80px;\"><span style=\"color: #bf5800;\"><a href=\"https:\/\/colab.research.google.com\/drive\/1Fz29KSzYmfOESATrnyRSxeRFV7lHQTLZ\" target=\"_blank\" rel=\"noopener\" style=\"color: #bf5800;\">Tema 17. NLP con Hugging Face<\/a><\/span><\/p>\n<p style=\"padding-left: 80px;\"><span style=\"color: #bf5800;\"><a href=\"https:\/\/colab.research.google.com\/drive\/1Fz29KSzYmfOESATrnyRSxeRFV7lHQTLZ\" target=\"_blank\" rel=\"noopener\" style=\"color: #bf5800;\">Tema 18. API Keras para redes generativas antag\u00f3nicas<\/a><\/span><\/p>\n<p>[\/et_pb_text][\/et_pb_column][et_pb_column type=&#8221;1_2&#8243; _builder_version=&#8221;4.17.4&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.17.4&#8243; _module_preset=&#8221;default&#8221; text_text_color=&#8221;#b57200&#8243; header_2_font=&#8221;Signika||||||||&#8221; header_2_font_size=&#8221;20px&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h2>M\u00f3dulo 4. <span data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;4. Ampliaciones&quot;}\" data-sheets-userformat=\"{&quot;2&quot;:15041,&quot;3&quot;:{&quot;1&quot;:0},&quot;9&quot;:0,&quot;10&quot;:0,&quot;12&quot;:0,&quot;14&quot;:{&quot;1&quot;:3,&quot;3&quot;:1},&quot;15&quot;:&quot;Arial&quot;,&quot;16&quot;:10}\">Redes Recurrentes<\/span><\/h2>\n<p style=\"padding-left: 40px;\"><span style=\"color: #bf5800;\"><a href=\"https:\/\/unidigital.umh.es\/api-keras-para-redes-recurrentes\/\" style=\"color: #bf5800;\">Unidad 4.1 API Keras para redes recurrentes<\/a><\/span><\/p>\n<p style=\"padding-left: 80px;\"><span style=\"color: #bf5800;\"><a href=\"https:\/\/colab.research.google.com\/drive\/1g3HwJ3F7LU7P5mQ41_z5R7tLqJpp0G8z\" target=\"_blank\" rel=\"noopener\" style=\"color: #bf5800;\">Tema 12. Introducci\u00f3n<\/a><\/span><\/p>\n<p style=\"padding-left: 80px;\"><span style=\"color: #bf5800;\"><a href=\"https:\/\/colab.research.google.com\/drive\/1CSx4maOmtAv-NSKRy1PYww9YA_pLW--W\" target=\"_blank\" rel=\"noopener\" style=\"color: #bf5800;\">Tema 13. Series temporales<\/a><\/span><\/p>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":"<p>&nbsp; DL IASACCONTENIDOS DEEP LEARNINGM\u00f3dulo 1. Introducci\u00f3n Unidad 1.1 Introducci\u00f3n al aprendizaje profundo Tema 1. Fundamentos del aprendizaje profundo Unidad 1.2 Proceso de entrenamiento de la red neuronal Tema 2. Proceso de entrenamiento de la red neuronal I Tema 3. Proceso de entrenamiento de la red neuronal IIM\u00f3dulo 2. Redes Multicapa Densa Unidad 2.1 API [&hellip;]<\/p>\n","protected":false},"author":24713,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","_links_to":"","_links_to_target":""},"_links":{"self":[{"href":"https:\/\/unidigital.umh.es\/en\/wp-json\/wp\/v2\/pages\/1598"}],"collection":[{"href":"https:\/\/unidigital.umh.es\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/unidigital.umh.es\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/unidigital.umh.es\/en\/wp-json\/wp\/v2\/users\/24713"}],"replies":[{"embeddable":true,"href":"https:\/\/unidigital.umh.es\/en\/wp-json\/wp\/v2\/comments?post=1598"}],"version-history":[{"count":0,"href":"https:\/\/unidigital.umh.es\/en\/wp-json\/wp\/v2\/pages\/1598\/revisions"}],"wp:attachment":[{"href":"https:\/\/unidigital.umh.es\/en\/wp-json\/wp\/v2\/media?parent=1598"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}