{"id":10701,"date":"2023-09-06T13:27:22","date_gmt":"2023-09-06T11:27:22","guid":{"rendered":"https:\/\/erumdatahub.de\/?p=10701"},"modified":"2023-09-06T15:01:34","modified_gmt":"2023-09-06T13:01:34","slug":"deep-learning-summer-school-2023","status":"publish","type":"post","link":"https:\/\/erumdatahub.de\/en\/blog\/2023\/09\/06\/deep-learning-summer-school-2023\/","title":{"rendered":"How to become a „Deep Learning Starter“"},"content":{"rendered":"\t\t
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How to become a \"Deep Learning Starter\"\n\n<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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<\/p>Ein R\u00fcckblick auf unsere dritte Deep Learning (Summer) School \u2013 \u201eBasic Concepts\u201c <\/span><\/b>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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\u00a0<\/p>

Eine motivierte Gruppe aus ca. 20 Studierenden, Promovierenden und Post-Docs reiste vom 7. bis zum 10. August nach Meinerzhagen und wurde von einem herausragenden Speaker Team und der tatkr\u00e4ftigen Unterst\u00fctzung engagierter Tutor:innen in die Deep Learning Themen \u201eNeural Network Building Blocks\u201c, \u201eMastering Model Building\u201c und \u201eConvolutional Neural Networks\u201c eingef\u00fchrt…<\/span><\/i><\/p>

Nach einem ersten gemeinsamen Abendessen und der Begr\u00fc\u00dfung durch das ErUM-Data-Hub Team rund um Professor Martin Erdmann (RWTH Aachen University), lauschten die Teilnehmenden am Montagabend wissbegierig der ersten Lecture von Karim El-Morabit (Universit\u00e4t Hamburg), der mit dem Thema \u201eNeural Network Building Blocks\u201c den fachlichen Startschuss zur Summer-School gab. Vertieft wurde dieses Thema auch nach einem ausgiebigen Fr\u00fchst\u00fcck am Dienstagvormittag. Um das neu erlernte Wissen ausprobieren zu k\u00f6nnen, fand im Anschluss eine erste Hands-on Session statt. <\/span><\/p>

Der Dienstagnachmittag stand ganz im Zeichen des zweiten Themenblocks. Dr. Marcel Rieger (Universit\u00e4t Hamburg) gestaltete eine Vorlesung zum Thema \u201eMastering Model Building\u201c, die durch einen anschlie\u00dfenden Praxisteil abgerundet wurde. Neben dem Vermitteln theoretischer Inhalte, wird bei unseren Schools auch 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 ein erstmalig bei unseren Schools stattfindendes \u201ePub Quiz\u201c, das sich niemand entgehen lie\u00df. Aufgeteilt in mehrere Teams, die sich kreative Namen wie \u201eTeam HRM Queen Elizaquizzz\u201c oder \u201eQuizzly Bears\u201c gaben, wurden in gem\u00fctlicher Runde Fragen aus diversen Themengebieten beantwortet. <\/span><\/p>

Lehrreich weiter ging es am Mittwoch Vormittag mit dem letzten Themenblock. Auf dem Programm standen eine Lecture und Hands-On Session zum Thema \u201eConvolutional Neural Networks\u201c, geleitet von Thorsten Buss (Universit\u00e4t Hamburg). Nach drei spannenden Themenbl\u00f6cken war es nun an der Zeit, die neu erlernten Deep Learning Konzepte in der \u201eGalaxy Classification Challenge\u201c anzuwenden und sich in Teamarbeit zu \u00fcben. Die vier ausgelosten Gruppen stellten sich hochmotiviert der Aufgabe und arbeiteten gemeinsam bis sp\u00e4t in den Abend hinein an ihren L\u00f6sungen. <\/span>Der Donnerstag Vormittag wurde genutzt, um den entwickelten Ideen den letzten\u00a0Schliff zu geben und die erarbeiteten Ergebnisse zu pr\u00e4sentieren. Die fachkundige Jury (bestehend aus den Speakern und Tutor:innen) zeigte sich beeindruckt von allen vier L\u00f6sungsans\u00e4tzen, was die Wahl des Gewinnnerteams nicht leichter machte. Herzlichen Gl\u00fcckwunsch an das Team von Timo, Jaroslav, Leonid, Lisa Lou und Mathis \u2013 sie konnten am Ende die Challenge f\u00fcr sich entscheiden. \u00a0Zum Abschluss wurde noch einmal auf eine lehrreiche und produktive Woche zur\u00fcckgeblickt und nach einem gemeinsamen Mittagessen machten sich die Teilnehmenden auf die Heimreise \u2013 im Gep\u00e4ck viele neu erlernte Deep Learning Konzepte. <\/span><\/p>

Wir bedanken uns herzlich bei den Speakern (Karim El-Morabit, Dr. Marcel Rieger und Thorsten Buss) f\u00fcr den wertvollen und lehrreichen Input, bei den Tutor:innen (Tobias Kramer Cedric Ewen und Ana Alves Andrade) f\u00fcr die tatkr\u00e4ftige Unterst\u00fctzung sowie bei allen Teilnehmer:innen, die durch ihre Zusammen- und Mitarbeit wesentlich zu dem Erfolg des Workshops beigetragen haben. Dem BMBF<\/a> gilt unser Dank f\u00fcr die finanzielle Unterst\u00fctzung.<\/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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R\u00fcckblick How to become a „Deep Learning Starter“ Ein R\u00fcckblick auf unsere dritte Deep Learning (Summer) School \u2013 \u201eBasic Concepts\u201c Eine motivierte Gruppe aus ca. 20 Studierenden, Promovierenden und Post-Docs reiste vom 7. bis zum 10. August nach Meinerzhagen und wurde von einem herausragenden Speaker Team und der tatkr\u00e4ftigen Unterst\u00fctzung engagierter Tutor:innen in die Deep […]<\/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-10701","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ruckblick","category-uncategorized"],"yoast_head":"\nHow to become a "Deep Learning Starter" - 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\/09\/06\/deep-learning-summer-school-2023\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"How to become a "Deep Learning Starter" - ErUM-Data-Hub\" \/>\n<meta property=\"og:description\" content=\"R\u00fcckblick How to become a „Deep Learning Starter“ Ein R\u00fcckblick auf unsere dritte Deep Learning (Summer) School \u2013 \u201eBasic Concepts\u201c Eine motivierte Gruppe aus ca. 20 Studierenden, Promovierenden und Post-Docs reiste vom 7. bis zum 10. 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