{"id":14184,"date":"2024-06-07T13:47:21","date_gmt":"2024-06-07T11:47:21","guid":{"rendered":"https:\/\/erumdatahub.de\/?p=14184"},"modified":"2024-06-12T14:29:52","modified_gmt":"2024-06-12T12:29:52","slug":"active-training-course-2024","status":"publish","type":"post","link":"https:\/\/erumdatahub.de\/en\/blog\/2024\/06\/07\/active-training-course-2024\/","title":{"rendered":"Deep Learning Enthusiasten erweitern gemeinsam ihre Kenntnisse beim Active Training Course"},"content":{"rendered":"\t\t
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Deep Learning Enthusiasten erweitern gemeinsam<\/span><\/b>

ihre Kenntnisse beim Active Training Course <\/span><\/b><\/p><\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Vom 21. bis 24. Mai fand bereits zum dritten Mal unser Active Training Course \u201eAdvanced Deep Learning\u201d statt. Dieses Mal ging es zu einer neuen Location, nach Filderstadt in Baden-W\u00fcrttemberg, wo eine wissbegierige Gruppe sich gemeinsam den anspruchsvollen Themen \u201eAutoencoder\u201c, \u201eTransformers\u201c, \u201eNormalizing Flows\u201c und \u201eModel Diffusion\u201c widmete.<\/b><\/span><\/p>

\u00a0<\/p>

Nach dem Pfingstwochenende reisten rund 40 Teilnehmende am Dienstag ins Bernh\u00e4user Forst nach Filderstadt, wo am Abend ein erstes gemeinsames Dinner den Auftakt zur School machte. Gest\u00e4rkt lauschte die Gruppe bestehend aus (Senior) Scientists, Postdocs und Doktorand:innen anschlie\u00dfend den einf\u00fchrenden Worten des ErUM-Data-Hub Teams, bevor die erste spannende Lecture auf dem Programm
stand: Steffen Korn (Georg-August-Universit\u00e4t G\u00f6ttingen) gab mit dem Thema \u201eAutoencoders\u201c den fachlichen Startschuss zum Active Training Course. \u00a0Vertieft wurde das Thema in einer Hands-On Session
nach dem Fr\u00fchst\u00fcck am kommenden Morgen, in der die Teilnehmenden erstmals die neu erlernten Konzepte selbst anwenden konnten. <\/span><\/p>

Nach einer kurzen Kaffeepause, in der sich die Teilnehmenden rege austauschten, ging es am Mittwochvormittag auch schon direkt weiter mit dem zweiten Themenblock: Jonas Spinner (Universit\u00e4t Heidelberg) f\u00fchrte die Teilnehmenden in einer informativen Lecture in das Thema \u201eTransformers\u201c ein. Auch die hier vermittelten Inhalte wurden anschlie\u00dfend durch eine praktische \u00dcbung erg\u00e4nzt. <\/span><\/p>

Bevor es zum gemeinsamen Abendessen ging, fesselte ein inputreicher Appetizer Talk zum Thema \u201eDiffusion Models\u201c, gehalten von Paul Wollenhaupt (Georg-August-Universit\u00e4t G\u00f6ttingen), die Teilnehmenden. Neben dem Vermitteln theoretischer Inhalte, wird bei unseren Schools auch immer viel Wert auf Zeit f\u00fcr gemeinsame Aktivit\u00e4ten gelegt, um einen regen Austausch untereinander zu erm\u00f6glichen und so erwartete die Teilnehmenden beim Social Evening am Abend wieder unser \u201eHub-\u201e oder \u201ePub-Quiz\u201c.
Aufgeteilt in mehrere Teams, die sich kreative Namen wie \u201eAttention seekers\u201c oder \u201eThe three must get beers\u201c gaben, wurden in gem\u00fctlicher Runde Fragen aus diversen Themengebieten beantwortet.<\/span><\/p>

Gro\u00dfe Ausdauer bewiesen die Teilnehmenden auch nach dem Pub-Quiz noch und warfen gemeinsam mit Stefan Fr\u00f6se vom ErUM-Data-Hub-Team, der hierf\u00fcr sein Teleskop mitgebracht hatte, einen Blick auf den Kugelsternhaufen am Nachthimmel.
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Am Donnerstagmorgen ging es mit dem letzten Themenblock lehrreich weiter. Hierf\u00fcr extra aus London angereist war Thandikire Madula (University College London), die eine wissenswerte Lecture zu \u201cNormalizing Flows\u201d hielt. Es folgte eine letzte Hands-On Session zum Verfestigen der neun Inhalte.\u00a0 <\/span><\/p>

Nach den drei spannenden Themenbl\u00f6cken war es nun an der Zeit, die neu erlernten Deep Learning Konzepte in der \u201eMilky Way Challenge\u201c anzuwenden und sich in Teamarbeit zu \u00fcben. Die vier ausgelosten Gruppen \u201eBlue\u201c, \u201eOrange\u201c, \u201eYellow\u201c und \u201ePink\u201c fanden sich schnell zusammen und stellten sich hochmotiviert der Aufgabe. Bis sp\u00e4t in den Abend hinein arbeiteten sie gemeinsam an ihren L\u00f6sungen. Der Freitagvormittag wurde genutzt, um den entwickelten Ideen den letzten\u00a0Schliff zu geben und die erarbeiteten Ergebnisse zu pr\u00e4sentieren.<\/span><\/p>

Die fachkundige Jury (bestehend aus den Speaker:innen und Tutor:innen) zeigte sich beeindruckt von den erarbeiteten L\u00f6sungsans\u00e4tzen, was die Wahl des Gewinnnerteams nicht leichter machte. Herzlichen Gl\u00fcckwunsch an das Team von Mikhail, David, Jan, Sajad und Fabio \u2013 sie konnten am Ende die Challenge f\u00fcr
sich entscheiden. \u00a0<\/span><\/p>

Zum Abschluss wurde noch einmal auf eine gelungene und produktive Woche zur\u00fcckgeblickt und nach einem gemeinsamen Mittagessen machten sich die Teilnehmenden, mit vielen neu erlernten Deep Learning Konzepten im Gep\u00e4ck, auf die Heimreise. <\/span><\/p>

Wir bedanken uns herzlich bei den Speaker:innen (Steffen Korn, Jonas Spinner, Thandi Madula und Paul Wollenhaupt) f\u00fcr den wertvollen und lehrreichen Input, bei den Tutor:innen (Christian Scheulen, Vladimir Starostin, Lukas Bauer und Arul Prakash) f\u00fcr die tatkr\u00e4ftige Unterst\u00fctzung in den Hands-On Sessions sowie bei allen Teilnehmer:innen, die durch ihre Zusammen- und Mitarbeit wesentlich zu dem Erfolg des Workshops beigetragen haben. Wir freuen uns schon darauf, euch alle bald wiederzusehen. <\/span><\/p>

Dem BMBF<\/a> gilt unser Dank f\u00fcr die finanzielle Unterst\u00fctzung.<\/span><\/p><\/div>

\u00a0<\/strong><\/p>

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Copyright \u00a9 ErUM-Data-Hub R\u00fcckblick Deep Learning Enthusiasten erweitern gemeinsam ihre Kenntnisse beim Active Training Course Vom 21. bis 24. Mai fand bereits zum dritten Mal unser Active Training Course \u201eAdvanced Deep Learning\u201d statt. Dieses Mal ging es zu einer neuen Location, nach Filderstadt in Baden-W\u00fcrttemberg, wo eine wissbegierige Gruppe sich gemeinsam den anspruchsvollen Themen \u201eAutoencoder\u201c, […]<\/p>\n","protected":false},"author":12,"featured_media":9903,"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":"set","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-14184","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ruckblick","category-uncategorized"],"yoast_head":"\nDeep Learning Enthusiasten erweitern gemeinsam ihre Kenntnisse beim Active Training Course - 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\/2024\/06\/07\/active-training-course-2024\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Deep Learning Enthusiasten erweitern gemeinsam ihre Kenntnisse beim Active Training Course - ErUM-Data-Hub\" \/>\n<meta property=\"og:description\" content=\"Copyright \u00a9 ErUM-Data-Hub R\u00fcckblick Deep Learning Enthusiasten erweitern gemeinsam ihre Kenntnisse beim Active Training Course Vom 21. bis 24. 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