{"id":10982,"date":"2023-10-10T13:01:14","date_gmt":"2023-10-10T11:01:14","guid":{"rendered":"https:\/\/erumdatahub.de\/?p=10982"},"modified":"2023-10-11T16:33:11","modified_gmt":"2023-10-11T14:33:11","slug":"active-training-course-2023-2","status":"publish","type":"post","link":"https:\/\/erumdatahub.de\/en\/blog\/2023\/10\/10\/active-training-course-2023-2\/","title":{"rendered":"Deep Learning Enthusiasten vertiefen ihre Kenntnisse beim Active Training Course\u200b"},"content":{"rendered":"\t\t
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All Pictures Copyright \u00a9 ErUM-Data-Hub<\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t
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Deep Learning Enthusiasten vertiefen ihre Kenntnisse beim Active Training Course<\/span><\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Ein R\u00fcckblick auf unseren dritten Active Training Course „Advanced Deep Learning“
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Vom 25. bis 28. September reiste eine motivierte Gruppe bestehend aus ca. 30 Senior Scientists, Postdocs, Doktorand:innen und Studierenden unterschiedlicher ErUM-Communities ins Landhaus Nordhelle nach Meinerzhagen, um beim Active Training Course gemeinsam fortgeschrittene Deep Learning Konzepte zu ergr\u00fcnden. Ein herausragendes Speaker:Innen Team f\u00fchrte die Teilnehmenden mit tatkr\u00e4ftiger Unterst\u00fctzung engagierter Tutoren in die Themen Graph Neural Networks<\/i>, Transformers & Model Diffusion<\/i> und Normalizing Flows<\/i> ein. <\/span><\/p>\n

Gest\u00e4rkt nach einem ersten gemeinsamen Abendessen und der Begr\u00fc\u00dfung durch das ErUM-Data-Hub Team verfolgten die Teilnehmenden am Montagabend wissbegierig die erste Lecture von Dr. Jonas Glombitza (Center for Astrophysics, Erlangen), der mit dem Thema Graph Neural Networks<\/i> den fachlichen Startschuss zum Active Training Course gab. Vertieft wurde dieses Thema auch in einer Hands-On Session nach dem Fr\u00fchst\u00fcck am folgenden Morgen, in der die Teilnehmenden ihre neu erlernten Deep Learning Konzepte erstmals anwenden konnten. <\/span><\/p>\n

Nach einer kurzen Kaffeepause ging es am Vormittag auch schon direkt weiter mit dem zweiten Themenblock. Dr. Ramon Winterhalder (UCLouvain) f\u00fchrte die Teilnehmenden in einer lehrreichen Lecture in das Thema Transformers & Model Diffusion<\/i> ein. Da sich die Teilnehmenden bei unserem letzten Workshop mehr Zeit f\u00fcr das Ausprobieren des neu erworbenen Wissens w\u00fcnschten, wurde ihnen nun mehr Zeit zur Verf\u00fcgung gestellt und so nutzen alle den verbleibenden Tag damit, die gestellten Aufgaben zu l\u00f6sen. <\/span><\/p>\n

Nach dem Abendessen stand der Social Evening auf dem Programm, der bei unseren Schools und Workshops mittlerweile fester Bestandteil ist, um bei gemeinsamen (Freizeit)aktivit\u00e4ten einen regen Austausch der Teilnehmenden zu erm\u00f6glichen. Und so wurden beim \u201ePub Quiz\u201c, das seine Feuerteufe bei unserer Deep Learning Summer School \u201eBasic Concepts\u201c bestand, in gem\u00fctlicher Runde Fragen aus zahlreichen Themengebieten gemeinsam beantwortet. <\/span><\/p>\n

Am Mittwoch Vormittag ging es mit dem letzten Themenblock lehrreich weiter.  Wir freuen uns, dass wir mit Dr. Nicole Hartman (Technische Universit\u00e4t M\u00fcnchen) erneut eine Frau als Speakerin gewonnen haben. Sie hielt eine Lecture zum Thema \u201eNormalizing Flows\u201c ,  auf die eine weitere Hands-On Session folgte. <\/span><\/p>\n

Nach drei lehrreichen Themenbl\u00f6cken war es nun an der Zeit, die neu erworbenen fortgeschrittenen Deep Learning Konzepte in der \u201eMilky Way Challenge\u201c anzuwenden und Kompetenzen der Teamarbeit zu erweitern. Die ausgelosten Gruppen fanden sich schnell zusammen und stellten sich hochmotiviert der Aufgabe. Bis sp\u00e4t in den Abend hinein wurden gemeinsam erste L\u00f6sungsans\u00e4tzen erarbeitet. <\/span><\/p>\n

Der Donnerstag Vormittag stand weiterhin im Sinne der Challenge und wurde genutzt, um den entwickelten Ideen den letzten Schliff zu geben. Anschlie\u00dfend fanden die Pr\u00e4sentationen statt. Die fachkundige Jury (bestehend aus den Speakern und Tutor:innen) zeigte sich beeindruckt von allen erarbeiteten L\u00f6sungsans\u00e4tzen, was die Wahl des Gewinnnerteams nicht leichter machte. Herzlichen Gl\u00fcckwunsch an das Team von Markus, Caio, Augustin und Sven \u2013 sie konnten am Ende die Challenge f\u00fcr sich entscheiden.  Zum Abschluss wurde noch einmal auf eine lehrreiche Woche zur\u00fcckgeblickt.  Nach einem letzten gemeinsamen Mittagessen machten sich die Teilnehmenden auf die Heimreise \u2013 im Gep\u00e4ck viele noch fortgeschrittenere Deep Learning Konzepte.<\/span><\/p>\n

Wir bedanken uns herzlich bei den Speaker:innen (Dr. Jonas Glombitza, Dr. Ramon Winterhalder und Dr. Nicole Hartman) f\u00fcr den wertvollen Input, bei den Tutoren Theo Heimel, Cyrus Walther und Martin Schneider f\u00fcr ihre tatkr\u00e4ftige Unterst\u00fctzung sowie bei allen Teilnehmer:innen, die durch ihre Zusammen- und Mitarbeit wesentlich zu dem Erfolg des Kurses beigetragen haben. Dem BMBF<\/a> gilt unser Dank f\u00fcr die finanzielle Unterst\u00fctzung.<\/span><\/p>\n

Der Active Training Course \u201eAdvanced Deep Learning\u201d war unsere letzte School in diesem Jahr. Wir freuen uns nun auf den \u201eErUM-Data Workshop on Inverse Problems\u201c<\/a> und auf viele spannende Schools 2024<\/a>. <\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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All Pictures Copyright \u00a9 ErUM-Data-Hub R\u00fcckblick Deep Learning Enthusiasten vertiefen ihre Kenntnisse beim Active Training Course Ein R\u00fcckblick auf unseren dritten Active Training Course „Advanced Deep Learning“ Vom 25. bis 28. September reiste eine motivierte Gruppe bestehend aus ca. 30 Senior Scientists, Postdocs, Doktorand:innen und Studierenden unterschiedlicher ErUM-Communities ins Landhaus Nordhelle nach Meinerzhagen, um beim […]<\/p>\n","protected":false},"author":12,"featured_media":9480,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"categories":[21,1],"tags":[],"class_list":["post-10982","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ruckblick","category-uncategorized"],"yoast_head":"\nDeep Learning Enthusiasten vertiefen ihre Kenntnisse beim Active Training Course\u200b - ErUM-Data-Hub<\/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:\/\/erumdatahub.de\/en\/blog\/2023\/10\/10\/active-training-course-2023-2\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Deep Learning Enthusiasten vertiefen ihre Kenntnisse beim Active Training Course\u200b - ErUM-Data-Hub\" \/>\n<meta property=\"og:description\" content=\"All Pictures Copyright \u00a9 ErUM-Data-Hub R\u00fcckblick Deep Learning Enthusiasten vertiefen ihre Kenntnisse beim Active Training Course Ein R\u00fcckblick auf unseren dritten Active Training Course „Advanced Deep Learning“ Vom 25. bis 28. 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