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DTSTART;TZID=Europe/Berlin:20230606T140000
DTEND;TZID=Europe/Berlin:20230606T153000
DTSTAMP:20260525T042419
CREATED:20230315T090944Z
LAST-MODIFIED:20230316T124859Z
UID:6382-1686060000-1686065400@blog.rwth-aachen.de
SUMMARY:[:en]Deep Learning with Images in MATLAB[:]
DESCRIPTION:Flipped Classroom: Online Training & Live Session \nOnline Training: Self-paced\, approximately 2 hours \nLive Session: Tuesday June 6th\, 2 PM – 3:30 PM (90 minutes) \nInstructor: Dr. Franziska Albers\, The MathWorks Academia Team \n  \nIn this training you will learn how to apply deep learning in MATLAB using image classification as an example. \nWe will use a flipped classroom style: you will work through the online course “Deep Learning Onramp” on your own and afterwards we will meet for a live session. \nThe online course covers: \n\nBasic idea of deep learning\nBasics of convolutional neural networks\nHow to make predictions with pretrained networks\nHow to manage collections of image data\nHow to perform transfer learning to fine-tune a pretrained network with your own data\n\nIn our live session we will: \n\nDiscuss your questions\nDiscuss how to build a convolutional neural network from scratch\nUse a convolutional neural network for regression\nDiscuss how you can learn more – so you can tackle your own deep learning projects in MATLAB\n\nPrerequisites \nYou will need a MathWorks account and some basic MATLAB skills to join this training. You are expected to complete the Deep Learning Onramp before joining the live session. The onramp takes approximately two hours to complete. \nWho is this for? \nThe training is for students and researchers who want to get started with deep learning in MATLAB. This training will enable you to solve simple classification and regression problems in MATLAB. \nRegistration \nPlease register until June 4th. \n  \nContact \nDr. Franziska Albers <falbers@mathworks.com>
URL:https://blog.rwth-aachen.de/itc-events/en/event/deep-learning-with-images-in-matlab/
LOCATION:Online\, Deutschland
CATEGORIES:HPC Events
ORGANIZER;CN="HPC":MAILTO:hpcevent@itc.rwth-aachen.de
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BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20230615T140000
DTEND;TZID=Europe/Berlin:20230615T150000
DTSTAMP:20260525T042419
CREATED:20230317T142015Z
LAST-MODIFIED:20230317T145000Z
UID:6403-1686837600-1686841200@blog.rwth-aachen.de
SUMMARY:[:en]HPC Consultation Hour #20[:]
DESCRIPTION:We offer an open HPC consultation hour on a regular basis. This takes place every 3rd Thursday of the month. Here\, we give you the opportunity to ask any HPC related question\, e.g. about: \n\nCluster usage\nParallel Programming\nPerformance analysis and optimization of self-written codes\nWorkflow optimization (e.g. job management and data processing)\nEfficient usage of systems and software\nSoftware installation and usage\nApplication for compute time on larger systems (tier 2 and 1)\n\nWe will not prepare any slides since this a pure Q&A session. \nIn order to join the Zoom meeting\, you can use the following link: \nhttps://rwth.zoom.us/j/91453505636\nMeeting-ID: 914 5350 5636\nKenncode: 690220
URL:https://blog.rwth-aachen.de/itc-events/en/event/hpc-consultation-hour-20/
LOCATION:Online\, Deutschland
CATEGORIES:HPC Consultation Hour,HPC Events
ATTACH;FMTTYPE=image/jpeg:https://blog.rwth-aachen.de/itc-events/files/2021/09/NewHPC_Consultation_Hour_2-3pm2-e1633003215902.jpg
ORGANIZER;CN="HPC":MAILTO:hpcevent@itc.rwth-aachen.de
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20230620T100000
DTEND;TZID=Europe/Berlin:20230620T120000
DTSTAMP:20260525T042419
CREATED:20230428T133624Z
LAST-MODIFIED:20230428T134354Z
UID:6505-1687255200-1687262400@blog.rwth-aachen.de
SUMMARY:[:de]Landesweiter MFA Workshop [:]
DESCRIPTION:This entry is only available in Deutsch. Name: Landesweiter MFA Workshop \n \nVeranstaltungsart: Workshop\n \nDatum: 20.06.2023\n \nUhrzeit: 10:00 – 12:00 Uhr \nOrt: Virtuell\n \nZielgruppe: Interessierte Mitarbeitende der Hochschulen in NRW \nZur Anmeldung \n\n\n  \nBeschreibung\nWir berichten über das Thema Mehr-Faktor-Authentifizierung an Hochschulen und legen dabei Wert auf die organisatorischen Aspekte.\nInteressierte Personen können sich über die Projektwebseite von IDM.nrw anmelden.
URL:https://blog.rwth-aachen.de/itc-events/en/event/landesweiter-mfa-workshop/
LOCATION:Online\, Deutschland
CATEGORIES:Einmalig
ATTACH;FMTTYPE=image/jpeg:https://blog.rwth-aachen.de/itc-events/files/2023/04/idm-nrw_Kooperationsvorhaben_Logo_CMYK.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20230629T160000
DTEND;TZID=Europe/Berlin:20230629T170000
DTSTAMP:20260525T042419
CREATED:20230324T075724Z
LAST-MODIFIED:20230328T084305Z
UID:6440-1688054400-1688058000@blog.rwth-aachen.de
SUMMARY:[:en]Machine Learning Consultancy Hour #4[:]
DESCRIPTION:Machine Learning (ML) methods are being used frequently in research these days. However\, often non-experts in ML are faced with the problem of designing and building highly complex models and ML-environments to utilize useful features that ML brings. A high invest of time is needed to acquire the knowledge required to develop ML-models and the environment in which they can be deployed. \nTo support researchers from fields other than ML\, the CSG Data Science provides regular Consultancy Hours where researchers can pitch their specific ML-related problems to us. \nBased on the pitch our team will support the presenters afterwards in a consultative manner. \nIn order to join the Zoom meeting\, you can use the following link: \nhttps://tu-darmstadt.zoom.us/j/68557734988?pwd=aVc1S0hMczNwVC9mS3ZIajd0UDJ2Zz09
URL:https://blog.rwth-aachen.de/itc-events/en/event/machine-learning-consultancy-hour-4/
LOCATION:Online\, Deutschland
CATEGORIES:HPC Events,NHR4CES: Machine Learning Consultancy Hour
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