{"id":2541,"date":"2019-09-06T06:38:34","date_gmt":"2019-09-06T06:38:34","guid":{"rendered":"https:\/\/www.aiproblog.com\/index.php\/2019\/09\/06\/tensorflow-optimization-showdown-activestate-vs-anaconda\/"},"modified":"2019-09-06T06:38:34","modified_gmt":"2019-09-06T06:38:34","slug":"tensorflow-optimization-showdown-activestate-vs-anaconda","status":"publish","type":"post","link":"https:\/\/www.aiproblog.com\/index.php\/2019\/09\/06\/tensorflow-optimization-showdown-activestate-vs-anaconda\/","title":{"rendered":"TensorFlow Optimization Showdown: ActiveState vs. Anaconda"},"content":{"rendered":"<p>Author: Matt Mayo Editor<\/p>\n<div>In this TensorFlow tutorial, you\u2019ll learn the impact of optimizing both operators and entire graphs, how to efficiently organize data in training and testing datasets to minimize data shuffling, and how to identify a well-optimized model using Anaconda and ActivePython.<\/div>\n<p><a href=\"https:\/\/www.kdnuggets.com\/2019\/09\/activestate-tensorflow-optimization-vs-anaconda.html\">Go to Source<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Author: Matt Mayo Editor In this TensorFlow tutorial, you\u2019ll learn the impact of optimizing both operators and entire graphs, how to efficiently organize data in [&hellip;] <span class=\"read-more-link\"><a class=\"read-more\" href=\"https:\/\/www.aiproblog.com\/index.php\/2019\/09\/06\/tensorflow-optimization-showdown-activestate-vs-anaconda\/\">Read More<\/a><\/span><\/p>\n","protected":false},"author":1,"featured_media":466,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_bbp_topic_count":0,"_bbp_reply_count":0,"_bbp_total_topic_count":0,"_bbp_total_reply_count":0,"_bbp_voice_count":0,"_bbp_anonymous_reply_count":0,"_bbp_topic_count_hidden":0,"_bbp_reply_count_hidden":0,"_bbp_forum_subforum_count":0,"footnotes":""},"categories":[26],"tags":[],"_links":{"self":[{"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/posts\/2541"}],"collection":[{"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/comments?post=2541"}],"version-history":[{"count":0,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/posts\/2541\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/media\/457"}],"wp:attachment":[{"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/media?parent=2541"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/categories?post=2541"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/tags?post=2541"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}