{"id":2434,"date":"2023-12-01T10:49:00","date_gmt":"2023-12-01T09:49:00","guid":{"rendered":"https:\/\/unidigital.umh.es\/?page_id=2434"},"modified":"2023-12-01T18:04:39","modified_gmt":"2023-12-01T17:04:39","slug":"api-keras-para-redes-convolucionales-ii","status":"publish","type":"page","link":"https:\/\/unidigital.umh.es\/ca\/api-keras-para-redes-convolucionales-ii\/","title":{"rendered":"<span lang=\"es\">(Espa\u00f1ol) API Keras para redes convolucionales II<\/span>"},"content":{"rendered":"<p>[et_pb_section fb_built=&#8221;1&#8243; _builder_version=&#8221;4.17.4&#8243; _module_preset=&#8221;default&#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; link_option_url=&#8221;https:\/\/unidigital.umh.es\/dl-iasac\/&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h1 style=\"text-align: center\"><span style=\"text-decoration: underline;color: #bf5800\"><strong>IR A CONTENIDOS DEEP LEARNING<\/strong><\/span><\/h1>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=&#8221;1_5,3_5,1_5&#8243; _builder_version=&#8221;4.17.4&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;1_5&#8243; _builder_version=&#8221;4.17.4&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_button button_url=&#8221;https:\/\/unidigital.umh.es\/api-keras-para-redes-convolucionales\/&#8221; button_text=&#8221;Unidad 3.1 API Keras para redes convolucionales (I)&#8221; button_alignment=&#8221;center&#8221; _builder_version=&#8221;4.17.4&#8243; _module_preset=&#8221;default&#8221; custom_button=&#8221;on&#8221; button_text_size=&#8221;14px&#8221; button_text_color=&#8221;#bf4c00&#8243; button_bg_color=&#8221;#FFFFFF&#8221; button_border_color=&#8221;#bf5800&#8243; button_font=&#8221;Roboto||||||||&#8221; button_icon=&#8221;&#x48;||divi||400&#8243; button_icon_placement=&#8221;left&#8221; transform_scale_tablet=&#8221;&#8221; transform_scale_phone=&#8221;&#8221; transform_scale_last_edited=&#8221;on|desktop&#8221; transform_translate=&#8221;-92px|0px&#8221; transform_translate_tablet=&#8221;-21px|0px&#8221; transform_translate_phone=&#8221;-22px|0px&#8221; transform_translate_last_edited=&#8221;on|phone&#8221; transform_translate_linked=&#8221;off&#8221; transform_rotate_tablet=&#8221;&#8221; transform_rotate_phone=&#8221;&#8221; transform_rotate_last_edited=&#8221;on|desktop&#8221; transform_skew_tablet=&#8221;&#8221; transform_skew_phone=&#8221;&#8221; transform_skew_last_edited=&#8221;on|desktop&#8221; transform_origin_tablet=&#8221;&#8221; transform_origin_phone=&#8221;&#8221; transform_origin_last_edited=&#8221;on|desktop&#8221; transform_styles_last_edited=&#8221;on|phone&#8221; custom_margin=&#8221;|-50px|||false|false&#8221; hover_enabled=&#8221;0&#8243; transform_styles_tablet=&#8221;&#8221; transform_styles_phone=&#8221;&#8221; global_colors_info=&#8221;{}&#8221; sticky_enabled=&#8221;0&#8243;][\/et_pb_button][\/et_pb_column][et_pb_column type=&#8221;3_5&#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;Signika||||||||&#8221; header_2_font_size=&#8221;22px&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h1 style=\"text-align: center\"><strong>\u00a0 M\u00f3dulo 3. Redes Convolucionales<\/strong><\/h1>\n<p><strong><\/strong><\/p>\n<h2 style=\"text-align: center\"><strong>Unidad 3.2 API Keras para redes convolucionales (II)<\/strong><\/h2>\n<p>&nbsp;<\/p>\n<p>[\/et_pb_text][\/et_pb_column][et_pb_column type=&#8221;1_5&#8243; _builder_version=&#8221;4.17.4&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_button button_url=&#8221;https:\/\/unidigital.umh.es\/api-keras-para-redes-recurrentes\/&#8221; button_text=&#8221;Unidad 4.1 API Keras para redes recurrentes&#8221; button_alignment=&#8221;center&#8221; _builder_version=&#8221;4.17.4&#8243; _module_preset=&#8221;default&#8221; custom_button=&#8221;on&#8221; button_text_size=&#8221;14px&#8221; button_text_color=&#8221;#bf4c00&#8243; button_bg_color=&#8221;#FFFFFF&#8221; button_border_color=&#8221;#bf5800&#8243; button_font=&#8221;Roboto||||||||&#8221; button_icon=&#8221;&#x49;||divi||400&#8243; transform_scale_tablet=&#8221;&#8221; transform_scale_phone=&#8221;&#8221; transform_scale_last_edited=&#8221;on|tablet&#8221; transform_translate=&#8221;41px|0px&#8221; transform_translate_tablet=&#8221;-20px|0px&#8221; transform_translate_phone=&#8221;-20px|0px&#8221; transform_translate_last_edited=&#8221;on|phone&#8221; transform_translate_linked=&#8221;off&#8221; transform_translate_linked_tablet=&#8221;off&#8221; transform_rotate_tablet=&#8221;&#8221; transform_rotate_phone=&#8221;&#8221; transform_rotate_last_edited=&#8221;on|tablet&#8221; transform_skew_tablet=&#8221;&#8221; transform_skew_phone=&#8221;&#8221; transform_skew_last_edited=&#8221;on|tablet&#8221; transform_origin_tablet=&#8221;&#8221; transform_origin_phone=&#8221;&#8221; transform_origin_last_edited=&#8221;on|tablet&#8221; transform_styles_last_edited=&#8221;on|phone&#8221; custom_margin=&#8221;|-70px|||false|false&#8221; transform_styles_tablet=&#8221;&#8221; transform_styles_phone=&#8221;&#8221; global_colors_info=&#8221;{}&#8221;][\/et_pb_button][\/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; width=&#8221;89%&#8221; max_width=&#8221;1543px&#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_image src=&#8221;https:\/\/ia4legos.umh.es\/files\/2023\/07\/Enlace-a-cuaderno-10.png&#8221; title_text=&#8221;Enlace a cuaderno 10&#8243; url=&#8221;https:\/\/colab.research.google.com\/drive\/1vlMmhfKdWxiRT8Mn7wZDHOvX0f0U301L&#8221; url_new_window=&#8221;on&#8221; align=&#8221;center&#8221; _builder_version=&#8221;4.17.4&#8243; _module_preset=&#8221;default&#8221; width=&#8221;35%&#8221; global_colors_info=&#8221;{}&#8221;][\/et_pb_image][et_pb_accordion _builder_version=&#8221;4.17.4&#8243; _module_preset=&#8221;default&#8221; toggle_font=&#8221;Signika||||||||&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_accordion_item title=&#8221;Tema 10. Visualizamos c\u00f3mo aprenden las covnets&#8221; open=&#8221;on&#8221; _builder_version=&#8221;4.17.4&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<ol>\n<li><span style=\"color: #bf5800\"><a href=\"https:\/\/colab.research.google.com\/drive\/1vlMmhfKdWxiRT8Mn7wZDHOvX0f0U301L#scrollTo=iwcYkCf7VIRG\" target=\"_blank\" rel=\"noopener\" style=\"color: #bf5800\">Visualizar lo que aprenden las covnets<\/a><\/span><\/li>\n<li><span style=\"color: #bf5800\"><a href=\"https:\/\/colab.research.google.com\/drive\/1vlMmhfKdWxiRT8Mn7wZDHOvX0f0U301L#scrollTo=W5oOn5ptnTD_\" target=\"_blank\" rel=\"noopener\" style=\"color: #bf5800\">Visualizar activaciones intermedias<\/a><\/span><\/li>\n<li><span style=\"color: #bf5800\"><a href=\"https:\/\/colab.research.google.com\/drive\/1vlMmhfKdWxiRT8Mn7wZDHOvX0f0U301L#scrollTo=DlUO2b5_3MLT\" target=\"_blank\" rel=\"noopener\" style=\"color: #bf5800\">Visualizar filtros<\/a><\/span><\/li>\n<li><span style=\"color: #bf5800\"><a href=\"https:\/\/colab.research.google.com\/drive\/1vlMmhfKdWxiRT8Mn7wZDHOvX0f0U301L#scrollTo=r-28R0Mc7TgZ\" target=\"_blank\" rel=\"noopener\" style=\"color: #bf5800\">Visualizaci\u00f3n de mapas de calor de la activaci\u00f3n de clases<\/a><\/span><\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<p>[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_image src=&#8221;https:\/\/ia4legos.umh.es\/files\/2023\/07\/Enlace-a-video-cuaderno-10-1.png&#8221; title_text=&#8221;Enlace a v\u00eddeo cuaderno 10&#8243; url=&#8221;https:\/\/www.youtube.com\/watch?v=77y7Rg3jQ2Q&amp;list=PLClKgnzRFYe6aNxojV8JV1d74EUtosmus&amp;index=10&#8243; url_new_window=&#8221;on&#8221; align=&#8221;center&#8221; _builder_version=&#8221;4.17.4&#8243; _module_preset=&#8221;default&#8221; width=&#8221;35%&#8221; global_colors_info=&#8221;{}&#8221;][\/et_pb_image][\/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_image src=&#8221;https:\/\/ia4legos.umh.es\/files\/2023\/07\/Enlace-a-cuaderno-11.png&#8221; title_text=&#8221;Enlace a cuaderno 11&#8243; url=&#8221;https:\/\/colab.research.google.com\/drive\/1g25_gUD3Bj5BgA4qnwjQyR0qBKxwNpd3&#8243; url_new_window=&#8221;on&#8221; align=&#8221;center&#8221; _builder_version=&#8221;4.17.4&#8243; _module_preset=&#8221;default&#8221; width=&#8221;35%&#8221; module_alignment=&#8221;center&#8221; global_colors_info=&#8221;{}&#8221;][\/et_pb_image][et_pb_accordion _builder_version=&#8221;4.17.4&#8243; _module_preset=&#8221;default&#8221; toggle_font=&#8221;Signika||||||||&#8221; custom_padding=&#8221;||50px||false|false&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_accordion_item title=&#8221;Tema 11. Redes preentrenadas&#8221; open=&#8221;on&#8221; _builder_version=&#8221;4.17.4&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<ol>\n<li><span style=\"color: #bf5800\"><a href=\"https:\/\/colab.research.google.com\/drive\/1g25_gUD3Bj5BgA4qnwjQyR0qBKxwNpd3#scrollTo=iwcYkCf7VIRG\" target=\"_blank\" rel=\"noopener\" style=\"color: #bf5800\">Redes neuronales con nombre propio<\/a><\/span><\/li>\n<li><span style=\"color: #bf5800\"><a href=\"https:\/\/colab.research.google.com\/drive\/1g25_gUD3Bj5BgA4qnwjQyR0qBKxwNpd3#scrollTo=oArQtDCtQrN7\" target=\"_blank\" rel=\"noopener\" style=\"color: #bf5800\">Acceso a redes preentrenadas con la API Keras<\/a><\/span><\/li>\n<li><span style=\"color: #bf5800\"><a href=\"https:\/\/colab.research.google.com\/drive\/1g25_gUD3Bj5BgA4qnwjQyR0qBKxwNpd3#scrollTo=sX6ZSE4hT4hk\" target=\"_blank\" rel=\"noopener\" style=\"color: #bf5800\">Uso de redes preentrenadas con Keras<\/a><\/span><\/li>\n<\/ol>\n<p>[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_image src=&#8221;https:\/\/ia4legos.umh.es\/files\/2023\/07\/Enlace-a-video-cuaderno-11.png&#8221; title_text=&#8221;Enlace a v\u00eddeo cuaderno 11&#8243; url=&#8221;https:\/\/www.youtube.com\/watch?v=La_02RaCFUA&amp;list=PLClKgnzRFYe6aNxojV8JV1d74EUtosmus&amp;index=11&#8243; url_new_window=&#8221;on&#8221; align=&#8221;center&#8221; _builder_version=&#8221;4.17.4&#8243; _module_preset=&#8221;default&#8221; width=&#8221;35%&#8221; global_colors_info=&#8221;{}&#8221;][\/et_pb_image][\/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_gallery gallery_ids=&#8221;2260,2263,2266&#8243; posts_number=&#8221;1&#8243; show_title_and_caption=&#8221;off&#8221; _builder_version=&#8221;4.17.4&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][\/et_pb_gallery][\/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_gallery gallery_ids=&#8221;2269,2272,2275&#8243; posts_number=&#8221;1&#8243; show_title_and_caption=&#8221;off&#8221; _builder_version=&#8221;4.17.4&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][\/et_pb_gallery][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":"<p>IR A CONTENIDOS DEEP LEARNING\u00a0 M\u00f3dulo 3. Redes Convolucionales Unidad 3.2 API Keras para redes convolucionales (II) &nbsp; Visualizar lo que aprenden las covnets Visualizar activaciones intermedias Visualizar filtros Visualizaci\u00f3n de mapas de calor de la activaci\u00f3n de clases &nbsp; Redes neuronales con nombre propio Acceso a redes preentrenadas con la API Keras Uso de [&hellip;]<\/p>\n","protected":false},"author":24704,"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\/ca\/wp-json\/wp\/v2\/pages\/2434"}],"collection":[{"href":"https:\/\/unidigital.umh.es\/ca\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/unidigital.umh.es\/ca\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/unidigital.umh.es\/ca\/wp-json\/wp\/v2\/users\/24704"}],"replies":[{"embeddable":true,"href":"https:\/\/unidigital.umh.es\/ca\/wp-json\/wp\/v2\/comments?post=2434"}],"version-history":[{"count":0,"href":"https:\/\/unidigital.umh.es\/ca\/wp-json\/wp\/v2\/pages\/2434\/revisions"}],"wp:attachment":[{"href":"https:\/\/unidigital.umh.es\/ca\/wp-json\/wp\/v2\/media?parent=2434"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}