{"id":8785,"date":"2017-07-19T09:14:08","date_gmt":"2017-07-19T13:14:08","guid":{"rendered":"http:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=8785"},"modified":"2017-07-19T09:22:06","modified_gmt":"2017-07-19T13:22:06","slug":"hbos-silicon-valley-built-not-hotdog-mobile-tensorflow-keras-react-native","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/hbos-silicon-valley-built-not-hotdog-mobile-tensorflow-keras-react-native\/8785\/","title":{"rendered":"How HBO\u2019s Silicon Valley Built \u201cNot Hotdog\u201d with Mobile TensorFlow, Keras &#038; React Native"},"content":{"rendered":"Originally published in Hacker Noon, June 26, 2017 The\u00a0HBO show\u00a0Silicon Valley\u00a0released a real AI app that identifies hotdogs\u200a\u2014\u200aand not hotdogs\u200a\u2014\u200alike the one shown on season 4\u2019s 4th episode (the app is\u00a0now available on Android as well as iOS!) To achieve this, we designed a bespoke neural architecture that runs directly on your phone, and trained it with Tensorflow, Keras &amp; Nvidia GPUs. While the use-case is farcical, the app is an approachable example of both deep learning, and edge computing. All AI work is powered 100% by the user\u2019s device, and images are processed without ever leaving their <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/hbos-silicon-valley-built-not-hotdog-mobile-tensorflow-keras-react-native\/8785\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>Originally published in Hacker Noon, June 26, 2017 The\u00a0HBO show\u00a0Silicon Valley\u00a0released a real AI app that identifies hotdogs\u200a\u2014\u200aand not hotdogs\u200a\u2014\u200alike the one shown on season 4\u2019s 4th episode (the app is\u00a0now available on Android as well as iOS!) To achieve this, we designed a bespoke neural architecture that runs directly on your phone, and trained [&hellip;]<\/p>\n","protected":false},"author":72,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[11],"tags":[968,878,947,967,964,965,963,966],"class_list":["post-8785","post","type-post","status-publish","format-standard","hentry","category-industry-news","tag-app-behavior","tag-artificial-intelligence-ai","tag-deep-neural-networks","tag-dx","tag-hacker-noon","tag-silicon-valley","tag-tim-anglade","tag-ux"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/8785","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/users\/72"}],"replies":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/comments?post=8785"}],"version-history":[{"count":2,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/8785\/revisions"}],"predecessor-version":[{"id":8787,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/8785\/revisions\/8787"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=8785"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=8785"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=8785"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}