Read more (programme, registration)<\/strong><\/a><\/li>\n<\/ul>\n<\/blockquote>","protected":false},"excerpt":{"rendered":"Our two Imaging Facilities, located in Toulouse (TRI) and Bordeaux (BIC), are organizing a mini-symposium centered around the machine-learning approaches, to take place on March the 11th in Toulouse . Our aim is to make our Imaging Communities (light and electron microscopies) aware of the new methods available to process, segment and restore images. A […]<\/p>\n","protected":false},"author":1,"featured_media":5757,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[1],"tags":[],"class_list":["post-5789","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-actualites-fr"],"acf":[],"yoast_head":"\n
11\/03 : Demystifying machine learning for microscopists - TRI-Genotoul<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/trigenotoul.com\/en\/demystifying-machine-learning-for-microscopists\/\" \/>\n<meta property=\"og:locale\" content=\"en_GB\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"11\/03 : Demystifying machine learning for microscopists - TRI-Genotoul\" \/>\n<meta property=\"og:description\" content=\"Our two Imaging Facilities, located in Toulouse (TRI) and Bordeaux (BIC), are organizing a mini-symposium centered around the machine-learning approaches, to take place on March the 11th in Toulouse . Our aim is to make our Imaging Communities (light and electron microscopies) aware of the new methods available to process, segment and restore images. 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Our two Imaging Facilities, located in Toulouse (TRI) and Bordeaux (BIC), are organising a mini-symposium focused on machine-learning approaches, to take place on 11 March in Toulouse. Our aim is to make our Imaging Communities (light and electron microscopies) aware of the new methods available to process, segment and restore images. Special attention will be drawn to the tools and their drawbacks. Our target is national, our event being open, supported and advertised through our national networks. The audience will be mostly composed of facility staff, interested in learning more about these approaches, while having little or no background in ML.<\/h5>\n