{"id":19687,"date":"2016-04-18T17:51:29","date_gmt":"2016-04-19T01:51:29","guid":{"rendered":"https:\/\/www.altoros.com\/blog\/?p=19687"},"modified":"2021-02-10T21:03:22","modified_gmt":"2021-02-10T18:03:22","slug":"using-tensorflow-and-long-short-term-memory-for-visualized-learning","status":"publish","type":"post","link":"https:\/\/www.altoros.com\/blog\/using-tensorflow-and-long-short-term-memory-for-visualized-learning\/","title":{"rendered":"Using TensorFlow and Long Short-Term Memory for Visualized Learning"},"content":{"rendered":"<p><img decoding=\"async\" src=\"https:\/\/www.altoros.com\/blog\/wp-content\/uploads\/2017\/01\/tensorflow-meetup-in-new-york-march-2016.jpeg\" alt=\"tensorflow-meetup-in-new-york-march-2016\" width=\"120\" style=\"margin: 0px 0px 10px 0px;\" class=\"alignright size-full wp-image-19708\" \/><\/p>\n<p>Below are the videos from the <a href=\"https:\/\/www.meetup.com\/TensorFlow-New-York\/events\/226673070\/\" target=\"_blank\" rel=\"noopener noreferrer\">TensorFlow New York meetup<\/a>\u2014sponsored and organized by Altoros on March 8, 2016.<\/p>\n<p>&nbsp;<\/p>\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_79_2 counter-hierarchy ez-toc-counter ez-toc-transparent ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">Table of Contents<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"Toggle Table of Content\"><span class=\"ez-toc-js-icon-con\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #999;color:#999\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/span><\/a><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/www.altoros.com\/blog\/using-tensorflow-and-long-short-term-memory-for-visualized-learning\/#TensorFlow_essentials\" >TensorFlow essentials<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/www.altoros.com\/blog\/using-tensorflow-and-long-short-term-memory-for-visualized-learning\/#Beyond_LSTMs_and_visualized_learning\" >Beyond LSTMs and visualized learning<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/www.altoros.com\/blog\/using-tensorflow-and-long-short-term-memory-for-visualized-learning\/#Fireside_chat_TensorFlow_adoption\" >Fireside chat: TensorFlow adoption<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/www.altoros.com\/blog\/using-tensorflow-and-long-short-term-memory-for-visualized-learning\/#Further_reading\" >Further reading<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/www.altoros.com\/blog\/using-tensorflow-and-long-short-term-memory-for-visualized-learning\/#About_the_speakers\" >About the speakers<\/a><\/li><\/ul><\/nav><\/div>\n<h3><span class=\"ez-toc-section\" id=\"TensorFlow_essentials\"><\/span>TensorFlow essentials<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>In his session, <a href=\"https:\/\/www.linkedin.com\/in\/rafaljozefowicz\" target=\"_blank\" rel=\"noopener noreferrer\">Rafal Jozefowicz<\/a>, a researcher at Google Brain, provided an overview of TensorFlow, focusing on the following:<\/p>\n<ul>\n<li>The solution\u2019s key features<\/li>\n<li>TensorFlow core abstractions<\/li>\n<li>How to assign devices to Ops with TensorFlow<\/li>\n<li>Predefined \/ neural net specific Ops<\/li>\n<li>Visualizing learning with <a href=\"https:\/\/www.altoros.com\/blog\/visualizing-tensorflow-graphs-with-tensorboard\/\">TensorBoard<\/a><\/li>\n<li>How to run a model in production with TensorFlow Serving<\/li>\n<li>Case study: <a href=\"https:\/\/www.altoros.com\/blog\/the-magic-behind-google-translate-sequence-to-sequence-models-and-tensorflow\/\">language modeling<\/a><\/li>\n<\/ul>\n<p>&nbsp;<br \/>\n<center><script charset=\"ISO-8859-1\" src=\"\/\/fast.wistia.com\/assets\/external\/E-v1.js\" async><\/script><\/p>\n<div class=\"wistia_embed wistia_async_ztk00riicp\" style=\"height:360px;width:640px\">&nbsp;<\/div>\n<p><\/center><\/p>\n<p>&nbsp;<\/p>\n<h3><span class=\"ez-toc-section\" id=\"Beyond_LSTMs_and_visualized_learning\"><\/span>Beyond LSTMs and visualized learning<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><a href=\"https:\/\/www.linkedin.com\/in\/keithmdavisiii\" target=\"_blank\" rel=\"noopener noreferrer\">Keith Davis<\/a> of Metro-North Railroad provided the hitchhiker\u2019s guide to TensorFlow. He mainly talked about <a href=\"https:\/\/www.altoros.com\/blog\/image-and-text-recognition-with-tensorflow-using-convolutional-neural-networks\/\">image recognition<\/a>, <a href=\"https:\/\/www.altoros.com\/blog\/what-is-behind-deep-reinforcement-learning-and-transfer-learning-with-tensorflow\/\">reinforcement learning<\/a>, and Kohonen (self-organizing) maps. He also demonstrated how to implement <a href=\"https:\/\/www.altoros.com\/blog\/recurrent-neural-networks-classifying-diagnoses-with-long-short-term-memory\/\">recurrent neural networks<\/a> and <a href=\"https:\/\/www.altoros.com\/blog\/text-prediction-with-tensorflow-and-long-short-term-memory-in-six-steps\/\">long short-term memory<\/a> (LSTM) architecture in TensorFlow.<\/p>\n<p><center><script charset=\"ISO-8859-1\" src=\"\/\/fast.wistia.com\/assets\/external\/E-v1.js\" async><\/script><\/p>\n<div class=\"wistia_embed wistia_async_usryeq4c5w\" style=\"height:360px;width:640px\">&nbsp;<\/div>\n<p><\/center><\/p>\n<p>&nbsp;<\/p>\n<h3><span class=\"ez-toc-section\" id=\"Fireside_chat_TensorFlow_adoption\"><\/span>Fireside chat: TensorFlow adoption<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>After the talks delivered, Rafal Jozefowicz, Keith Davis, and <a href=\"https:\/\/www.linkedin.com\/in\/brandonjohnsonxyz\" target=\"_blank\" rel=\"noopener noreferrer\">Brandon Johnson<\/a> shared their opinion on the following topics:<\/p>\n<ul>\n<li>What makes TensorFlow stand out in a crowd as a tool?<\/li>\n<li>How is TensorFlow applied within Google? How can it be used in other organizations?<\/li>\n<li>How can the community push TensorFlow as a project?<\/li>\n<li>How to attract more interest to TensorFlow?<\/li>\n<li>Recommendations for those getting started with TensorFlow<\/li>\n<\/ul>\n<p>&nbsp;<br \/>\n<center><script charset=\"ISO-8859-1\" src=\"\/\/fast.wistia.com\/assets\/external\/E-v1.js\" async><\/script><\/p>\n<div class=\"wistia_embed wistia_async_x3s6su7s7y\" style=\"height:360px;width:640px\">&nbsp;<\/div>\n<p><\/center><\/p>\n<p>&nbsp;<\/p>\n<p>Join <a href=\"https:\/\/www.meetup.com\/TensorFlow-New-York\/\" target=\"_blank\" rel=\"noopener noreferrer\">our group<\/a> to stay tuned with the upcoming meetups!<\/p>\n<p>&nbsp;<\/p>\n<h3><span class=\"ez-toc-section\" id=\"Further_reading\"><\/span>Further reading<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<ul>\n<li><a href=\"https:\/\/www.altoros.com\/blog\/tensorflow-in-action-tensorboard-training-a-model-and-deep-q-learning\/\">TensorFlow in Action: TensorBoard, Training a Model, and Deep Q-learning<\/a><\/li>\n<li><a href=\"https:\/\/www.altoros.com\/blog\/monitoring-and-visualizing-tensorflow-operations-in-real-time-with-guild-ai\/\">Monitoring and Visualizing TensorFlow Operations in Real Time with Guild AI<\/a><\/li>\n<li><a href=\"https:\/\/www.altoros.com\/blog\/text-prediction-with-tensorflow-and-long-short-term-memory-in-six-steps\/\">Text Prediction with TensorFlow and Long Short-Term Memory\u2014in Six Steps<\/a><\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h3><span class=\"ez-toc-section\" id=\"About_the_speakers\"><\/span>About the speakers<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<div>\n<div style=\"float: right;\"><a href=\"https:\/\/www.linkedin.com\/in\/rafaljozefowicz\" rel=\"noopener noreferrer\" target=\"_blank\"><img decoding=\"async\" src=\"https:\/\/www.altoros.com\/blog\/wp-content\/uploads\/2016\/04\/rafal-jozefowicz-google-brain.png\" alt=\"\" width=\"120\" class=\"alignright size-full wp-image-60166\" \/><\/a><\/div>\n<div style=\"width: 600px;\"><small><a href=\"https:\/\/www.linkedin.com\/in\/rafaljozefowicz\" rel=\"noopener noreferrer\" target=\"_blank\">Rafal Jozefowicz<\/a> is Researcher at Google Brain. His main area of expertise is solving natural language processing problems using neural networks. Rafal graduated from Jagiellonian University with a degree in computer science and was hired by Microsoft as Software Development Engineer. Before joining Google, he was Quantitative Software Engineer at Two Sigma Investments, where he worked on equity derivatives and global macro strategies using artificial intelligence, machine learning, and distributed computing.<\/small><\/div>\n<\/div>\n<p>&nbsp;<\/p>\n<div>\n<div style=\"float: right;\"><a href=\"https:\/\/www.linkedin.com\/in\/keithmdavisiii\" rel=\"noopener noreferrer\" target=\"_blank\"><img decoding=\"async\" src=\"https:\/\/www.altoros.com\/blog\/wp-content\/uploads\/2016\/04\/keith-davis-metro-north-railroad.png\" alt=\"\" width=\"120\" class=\"alignright size-full wp-image-60167\" \/><\/a><\/div>\n<div style=\"width: 600px;\"><small><a href=\"https:\/\/www.linkedin.com\/in\/keithmdavisiii\" rel=\"noopener noreferrer\" target=\"_blank\">Keith Davis<\/a> is Data Scientist at Metro-North Railroad. He holds a bachelor\u2019s degree in civil engineering from Rensselaer Polytechnic Institute and a master\u2019s degree in computer science from the University of Helsinki. Keith was first exposed to predictive modeling and machine learning at Rensselaer Polytechnic Institute, while studying traffic flow patterns.<\/small><\/div>\n<\/div>\n<p>&nbsp;<\/p>\n<div>\n<div style=\"float: right;\"><a href=\"https:\/\/www.linkedin.com\/in\/brandonjohnsonxyz\" rel=\"noopener noreferrer\" target=\"_blank\"><img decoding=\"async\" src=\"https:\/\/www.altoros.com\/blog\/wp-content\/uploads\/2016\/04\/brandon-johnson-software-engineer.png\" alt=\"\" width=\"120\" class=\"alignright size-full wp-image-60168\" \/><\/a><\/div>\n<div style=\"width: 600px;\"><small><a href=\"https:\/\/www.linkedin.com\/in\/brandonjohnsonxyz\" rel=\"noopener noreferrer\" target=\"_blank\">Brandon Johnson<\/a> is an independent software engineer and researcher. He is currently studying neuroscience, applied mathematics, and computer science at New York University. Brandon also took a few courses in interactive data visualization, big data analytics, and machine learning with big data. As Aerospace Engineer Intern, he was educated in how to build, maintain, and further develop aircraft systems on both hardware and software sides.<\/small><\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<\/p>\n<p>Below are the videos from the TensorFlow New York meetup\u2014sponsored and organized by Altoros on March 8, 2016.<\/p>\n<p>&nbsp;<\/p>\n<p>TensorFlow essentials<\/p>\n<p>In his session, Rafal Jozefowicz, a researcher at Google Brain, provided an overview of TensorFlow, focusing on the following:<\/p>\n<p>The solution\u2019s key features<br \/>\nTensorFlow core abstractions<br \/>\nHow to assign devices to Ops with TensorFlow<br \/>\nPredefined \/ [&#8230;]<\/p>\n","protected":false},"author":3,"featured_media":60165,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"content-type":"","footnotes":"","_links_to":"","_links_to_target":""},"categories":[214],"tags":[748,749],"class_list":["post-19687","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-tutorials","tag-machine-learning","tag-tensorflow"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.6 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Using TensorFlow and Long Short-Term Memory for Visualized Learning | Altoros<\/title>\n<meta name=\"description\" content=\"This blog post discusses visualized learning, features a language modeling scenario, and looks into the usage of long short-term memory in TensorFlow.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.altoros.com\/blog\/using-tensorflow-and-long-short-term-memory-for-visualized-learning\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Using TensorFlow and Long Short-Term Memory for Visualized Learning | Altoros\" \/>\n<meta property=\"og:description\" content=\"Below are the videos from the TensorFlow New York meetup\u2014sponsored and organized by Altoros on March 8, 2016. &nbsp; TensorFlow essentials In his session, Rafal Jozefowicz, a researcher at Google Brain, provided an overview of TensorFlow, focusing on the following: The solution\u2019s key features TensorFlow core abstractions How to assign devices to Ops with TensorFlow Predefined \/ [...]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.altoros.com\/blog\/using-tensorflow-and-long-short-term-memory-for-visualized-learning\/\" \/>\n<meta property=\"og:site_name\" content=\"Altoros\" \/>\n<meta property=\"article:published_time\" content=\"2016-04-19T01:51:29+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2021-02-10T18:03:22+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.altoros.com\/blog\/wp-content\/uploads\/2016\/04\/machine-learning-long-short-term-memory-tensorflow.gif\" \/>\n\t<meta property=\"og:image:width\" content=\"1024\" \/>\n\t<meta property=\"og:image:height\" content=\"572\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/gif\" \/>\n<meta name=\"author\" content=\"Sophia Turol\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Sophia Turol\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"2 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/www.altoros.com\/blog\/using-tensorflow-and-long-short-term-memory-for-visualized-learning\/\",\"url\":\"https:\/\/www.altoros.com\/blog\/using-tensorflow-and-long-short-term-memory-for-visualized-learning\/\",\"name\":\"Using TensorFlow and Long Short-Term Memory for Visualized Learning | Altoros\",\"isPartOf\":{\"@id\":\"https:\/\/www.altoros.com\/blog\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\/\/www.altoros.com\/blog\/using-tensorflow-and-long-short-term-memory-for-visualized-learning\/#primaryimage\"},\"image\":{\"@id\":\"https:\/\/www.altoros.com\/blog\/using-tensorflow-and-long-short-term-memory-for-visualized-learning\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/www.altoros.com\/blog\/wp-content\/uploads\/2016\/04\/machine-learning-long-short-term-memory-tensorflow.gif\",\"datePublished\":\"2016-04-19T01:51:29+00:00\",\"dateModified\":\"2021-02-10T18:03:22+00:00\",\"author\":{\"@id\":\"https:\/\/www.altoros.com\/blog\/#\/schema\/person\/58194952af19fe7b2b830846e077a58e\"},\"breadcrumb\":{\"@id\":\"https:\/\/www.altoros.com\/blog\/using-tensorflow-and-long-short-term-memory-for-visualized-learning\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/www.altoros.com\/blog\/using-tensorflow-and-long-short-term-memory-for-visualized-learning\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/www.altoros.com\/blog\/using-tensorflow-and-long-short-term-memory-for-visualized-learning\/#primaryimage\",\"url\":\"https:\/\/www.altoros.com\/blog\/wp-content\/uploads\/2016\/04\/machine-learning-long-short-term-memory-tensorflow.gif\",\"contentUrl\":\"https:\/\/www.altoros.com\/blog\/wp-content\/uploads\/2016\/04\/machine-learning-long-short-term-memory-tensorflow.gif\",\"width\":1024,\"height\":572},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/www.altoros.com\/blog\/using-tensorflow-and-long-short-term-memory-for-visualized-learning\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/www.altoros.com\/blog\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Using TensorFlow and Long Short-Term Memory for Visualized Learning\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/www.altoros.com\/blog\/#website\",\"url\":\"https:\/\/www.altoros.com\/blog\/\",\"name\":\"Altoros\",\"description\":\"Insight\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/www.altoros.com\/blog\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"},{\"@type\":\"Person\",\"@id\":\"https:\/\/www.altoros.com\/blog\/#\/schema\/person\/58194952af19fe7b2b830846e077a58e\",\"name\":\"Sophia Turol\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/www.altoros.com\/blog\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/www.altoros.com\/blog\/wp-content\/uploads\/2019\/05\/trello_card-96x96.jpg\",\"contentUrl\":\"https:\/\/www.altoros.com\/blog\/wp-content\/uploads\/2019\/05\/trello_card-96x96.jpg\",\"caption\":\"Sophia Turol\"},\"description\":\"Sophia Turol is passionate about delivering well-structured articles that cater for picky technical audience. 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