{"id":1012128,"date":"2024-03-05T15:04:33","date_gmt":"2024-03-05T23:04:33","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-video&#038;p=1012128"},"modified":"2024-03-05T15:04:33","modified_gmt":"2024-03-05T23:04:33","slug":"using-archai-to-search-for-best-face-segmentation-model-on-azure-ml","status":"publish","type":"msr-video","link":"https:\/\/www.microsoft.com\/en-us\/research\/video\/using-archai-to-search-for-best-face-segmentation-model-on-azure-ml\/","title":{"rendered":"Using Archai to search for best Face Segmentation model on Azure ML"},"content":{"rendered":"<p>This video shows how to use the Archai search framework to find the best possible face segmentation model on Azure ML including a check that the models work well on Qualcomm Snapdragon hardware.<br \/>\n&#8211; 00:00 &#8211; intro<br \/>\n&#8211; 02:08 &#8211; aml.py pipeline entry point<br \/>\n&#8211; 03:12 &#8211; demo<br \/>\n&#8211; 05_20 &#8211; parallel training on a gpu cluster<br \/>\n&#8211; 06:15 &#8211; the status table<br \/>\n&#8211; 08:34 &#8211; snapdragon quantization pipeline<\/p>\n<p>See https:\/\/github.com\/microsoft\/archai<\/p>\n","protected":false},"excerpt":{"rendered":"<p>This video shows how to use the Archai search framework to find the best possible face segmentation model on Azure ML including a check that the models work well on Qualcomm Snapdragon hardware. &#8211; 00:00 &#8211; intro &#8211; 02:08 &#8211; aml.py pipeline entry point &#8211; 03:12 &#8211; demo &#8211; 05_20 &#8211; parallel training on a [&hellip;]<\/p>\n","protected":false},"featured_media":1012131,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"footnotes":""},"research-area":[13556],"msr-video-type":[],"msr-locale":[268875],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-1012128","msr-video","type-msr-video","status-publish","has-post-thumbnail","hentry","msr-research-area-artificial-intelligence","msr-locale-en_us"],"msr_download_urls":"","msr_external_url":"https:\/\/youtu.be\/a8MfuyYpRQA","msr_secondary_video_url":"","msr_video_file":"","_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/1012128"}],"collection":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video"}],"about":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/types\/msr-video"}],"version-history":[{"count":1,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/1012128\/revisions"}],"predecessor-version":[{"id":1012134,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/1012128\/revisions\/1012134"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media\/1012131"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=1012128"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=1012128"},{"taxonomy":"msr-video-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video-type?post=1012128"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=1012128"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=1012128"},{"taxonomy":"msr-pillar","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-pillar?post=1012128"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}