{"id":12541,"date":"2015-06-13T16:13:18","date_gmt":"2015-06-13T16:13:18","guid":{"rendered":"http:\/\/rafaelfajardo.com\/portfolio\/futurescope-ted-rnn-machine-generated\/"},"modified":"2018-12-05T17:25:33","modified_gmt":"2018-12-06T00:25:33","slug":"futurescope-ted-rnn-machine-generated","status":"publish","type":"post","link":"https:\/\/rafaelfajardo.com\/portfolio\/futurescope-ted-rnn-machine-generated\/","title":{"rendered":""},"content":{"rendered":"<span class=\"embed-youtube\" style=\"text-align:center; display: block;\"><iframe loading=\"lazy\" class=\"youtube-player\" width=\"250\" height=\"141\" src=\"https:\/\/www.youtube.com\/embed\/-OodHtJ1saY?version=3&#038;rel=1&#038;showsearch=0&#038;showinfo=1&#038;iv_load_policy=1&#038;fs=1&#038;hl=en-US&#038;autohide=2&#038;wmode=opaque\" allowfullscreen=\"true\" style=\"border:0;\" sandbox=\"allow-scripts allow-same-origin allow-popups allow-presentation allow-popups-to-escape-sandbox\"><\/iframe><\/span>\n<p><a href=\"http:\/\/futurescope.co\/post\/121425066688\/ted-rnn-machine-generated-ted-talks-hilarious\" class=\"tumblr_blog\">futurescope<\/a>:<\/p>\n<blockquote>\n<h2>TED-RNN &#8211; Machine generated TED-Talks<\/h2>\n<p>Hilarious #ComputationalComedy coding project by <a href=\"http:\/\/samim.io\/\">Samim<\/a>. He fed a <a href=\"https:\/\/en.wikipedia.org\/wiki\/Recurrent_neural_network\">Recurrent Neural Network<\/a> with all existing TED Talk Transcripts (1904 speeches or 22.4MB of text which amounts to 4038409 words) and now the model outputs machine generated TED Talks. You can watch three speeches &#8211; from J\u00fcrgen TEDhuber, Ada LoveTED and Isaac TEDimov &#8211; above. Read the transcripts <a href=\"https:\/\/medium.com\/@samim\/ted-rnn-machine-generated-ted-talks-3dd682b894c0\">here<\/a>.<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/i.imgur.com\/ltbm92R.png\" alt=\"RNN\" \/><\/p>\n<p>Samim had also created <a href=\"https:\/\/medium.com\/@samim\/obama-rnn-machine-generated-political-speeches-c8abd18a2ea0\">Obama-RNN<\/a>, a bot that generates political speeches based on a corpus of the speeches of US President Barack Obama. Worth a read.<\/p>\n<p>In addition, I recommend to follow <a href=\"https:\/\/twitter.com\/futuristbot\">Futuristbot<\/a> and <a href=\"https:\/\/twitter.com\/RNN_Bible\">RNNBible<\/a> on twitter for more RNN generated content. And have a look at <a href=\"http:\/\/futurescope.co\/post\/121207567279\/prostheticknowledge-lstm-neural-network-artwork\">LSTM (Long Short Term Memory)<\/a>, a RNN based on all of the books by Ray Kurzweil, coded by <a href=\"http:\/\/sebastianschmieg.com\/\">Sebastian Schmieg<\/a><\/p>\n<p><a href=\"https:\/\/medium.com\/@samim\/ted-rnn-machine-generated-ted-talks-3dd682b894c0\">[read more]<\/a> <a href=\"https:\/\/twitter.com\/samim\">[Samim Twitter]<\/a> [embedded screenshot by Samin]<\/p>\n<\/blockquote>\n<div class=\"attribution\">(<span>Source:<\/span> <a href=\"https:\/\/www.youtube.com\/\">https:\/\/www.youtube.com\/<\/a>)<\/div>\n","protected":false},"excerpt":{"rendered":"<p>futurescope: TED-RNN &#8211; Machine generated TED-Talks Hilarious #ComputationalComedy coding project by Samim. He fed a Recurrent Neural Network with all existing TED Talk Transcripts (1904 speeches or 22.4MB of text which amounts to 4038409 words) and now the model outputs machine generated TED Talks. You can watch three speeches &#8211; from J\u00fcrgen TEDhuber, Ada LoveTED [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"video","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":[10],"tags":[],"class_list":["post-12541","post","type-post","status-publish","format-video","hentry","category-words","post_format-post-format-video"],"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_shortlink":"https:\/\/wp.me\/p6PWot-3gh","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/rafaelfajardo.com\/portfolio\/wp-json\/wp\/v2\/posts\/12541","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/rafaelfajardo.com\/portfolio\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/rafaelfajardo.com\/portfolio\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/rafaelfajardo.com\/portfolio\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/rafaelfajardo.com\/portfolio\/wp-json\/wp\/v2\/comments?post=12541"}],"version-history":[{"count":1,"href":"https:\/\/rafaelfajardo.com\/portfolio\/wp-json\/wp\/v2\/posts\/12541\/revisions"}],"predecessor-version":[{"id":12542,"href":"https:\/\/rafaelfajardo.com\/portfolio\/wp-json\/wp\/v2\/posts\/12541\/revisions\/12542"}],"wp:attachment":[{"href":"https:\/\/rafaelfajardo.com\/portfolio\/wp-json\/wp\/v2\/media?parent=12541"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/rafaelfajardo.com\/portfolio\/wp-json\/wp\/v2\/categories?post=12541"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/rafaelfajardo.com\/portfolio\/wp-json\/wp\/v2\/tags?post=12541"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}