{"id":2623,"date":"2015-07-13T07:17:19","date_gmt":"2015-07-13T14:17:19","guid":{"rendered":"http:\/\/jnack.com\/blog\/?p=2623"},"modified":"2015-07-12T18:38:07","modified_gmt":"2015-07-13T01:38:07","slug":"google-machines-crack-pipe-dreams","status":"publish","type":"post","link":"http:\/\/jnack.com\/blog\/2015\/07\/13\/google-machines-crack-pipe-dreams\/","title":{"rendered":"Google machines&#8217; crack-pipe dreams"},"content":{"rendered":"<p><a href=\"http:\/\/googleresearch.blogspot.it\/2015\/07\/deepdream-code-example-for-visualizing.html\">What witchcraft is this<\/a>?<\/p>\n<p><iframe loading=\"lazy\" src=\"https:\/\/player.vimeo.com\/video\/132700334\" width=\"604\" height=\"340\" frameborder=\"0\" title=\"Inside an artificial brain\" webkitallowfullscreen mozallowfullscreen allowfullscreen><\/iframe><\/p>\n<blockquote>\n<p>A journey trough all the layers of a artificial neural network.This video is made using a visualisation technique applied to a neural network trained to recognise a broad range of images. Each frame is recursively fed back to the network starting with a frame of random noise. Every 100 frames (4 seconds) the next layer is targeted until the lowest layer is reached. Based on the work by Google researchers Alexander Mordvintsev, Christopher Olah and Mike Tyka.<\/p>\n<\/blockquote>\n<p>And of course, &#8220;<a href=\"http:\/\/gizmodo.com\/oh-god-someone-ran-fear-and-loathing-through-googles-n-1716036990\">Oh God, Someone Ran Fear and Loathing Through Google&#8217;s Neural Network<\/a>&#8220;:<\/p>\n<p><iframe loading=\"lazy\" width=\"604\" height=\"340\" src=\"https:\/\/www.youtube.com\/embed\/oyxSerkkP4o?start=54&#038;feature=oembed\" frameborder=\"0\" allow=\"autoplay; encrypted-media\" allowfullscreen><\/iframe> <\/p>\n<p>[<a href=\"https:\/\/vimeo.com\/132700334\">Vimeo<\/a>] [Via\u00a0Aaron Hertzmann]<\/p>\n","protected":false},"excerpt":{"rendered":"<p>What witchcraft is this? A journey trough all the layers of a artificial neural network.This video is made using a visualisation technique applied to a neural network trained to recognise a broad range of images. Each frame is recursively fed back to the network starting with a frame of random noise. Every 100 frames (4 [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[2],"tags":[],"_links":{"self":[{"href":"http:\/\/jnack.com\/blog\/wp-json\/wp\/v2\/posts\/2623"}],"collection":[{"href":"http:\/\/jnack.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/jnack.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/jnack.com\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/jnack.com\/blog\/wp-json\/wp\/v2\/comments?post=2623"}],"version-history":[{"count":3,"href":"http:\/\/jnack.com\/blog\/wp-json\/wp\/v2\/posts\/2623\/revisions"}],"predecessor-version":[{"id":2636,"href":"http:\/\/jnack.com\/blog\/wp-json\/wp\/v2\/posts\/2623\/revisions\/2636"}],"wp:attachment":[{"href":"http:\/\/jnack.com\/blog\/wp-json\/wp\/v2\/media?parent=2623"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/jnack.com\/blog\/wp-json\/wp\/v2\/categories?post=2623"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/jnack.com\/blog\/wp-json\/wp\/v2\/tags?post=2623"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}