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SUMMARY:Fundamentals of Deep Learning (NVIDIA DLI certification)
DTSTART:20261027T080000Z
DTEND:20261027T160000Z
DTSTAMP:20261024T023500Z
UID:indico-event-878@plan.events.mpg.de
CONTACT:ai-training@mpcdf.mpg.de
DESCRIPTION:\n\n\n\n\n\n⚠️ This event is fully booked\nAll places have
  been taken and there is no waiting list. However\, seats may become avail
 able closer to the workshop date if registered participants withdraw\, so 
 please check the registration page again as the event approaches. \n\n \
 nThe Max‑Planck Computing and Data Facility (MPCDF)\, in partnership wit
 h NVIDIA\, is pleased to invite you to a one‑day\, online\, hands‑on 
 Deep Learning workshop.\n \nThis NVIDIA Deep Learning Institute (DLI) cou
 rse provides a comprehensive\, hands-on introduction to the fundamentals o
 f deep learning. Through practical exercises\, you will train neural netwo
 rks from the ground up for both computer vision and natural language proce
 ssing applications. You’ll gain experience with essential tools and tech
 niques to enhance model performance\, and discover how to efficiently appl
 y cutting-edge\, pre-trained models to accelerate your own projects. By su
 ccessfully completing the final assessment\, you will earn an NVIDIA DLI c
 ertificate\, demonstrating your proficiency in the foundational concepts a
 nd practical skills of deep learning.\n\n\n\n \n\n\n\n\n \n\n\nLearning 
 Objectives\n\nLearn the fundamental techniques and tools required to train
  a deep learning model\nGain experience with common deep learning data typ
 es and model architectures\nEnhance datasets through data augmentation to 
 improve model accuracy\nLeverage transfer learning between models to achie
 ve efficient results with less data and computation\nBuild confidence to t
 ake on your own project with a modern deep learning framework\n\nTopics Co
 vered\n\nPyTorch\nConvolutional Neural Networks (CNNS)\nData Augmentation\
 nTransfer Learning\nNatural Language Processing\n\nPrerequisites\nAn under
 standing of fundamental programming concepts in Python 3\, such as functi
 ons\, loops\, dictionaries\, and arrays\; familiarity with Pandas data st
 ructures\; and an understanding of how to compute a regression line.\nHar
 dware Requirements\nLaptop capable of running the latest version of Chrome
  or Firefox. Each participant will be provided with dedicated access to a 
 fully configured\, GPU-accelerated server in the cloud.\nContacts:\nIf you
  have any questions about the workshop or the application process\, feel f
 ree to contact us:\n\nai-training@mpcdf.mpg.de\n\n\nhttps://plan.events.mp
 g.de/event/878/
LOCATION:Online
URL:https://plan.events.mpg.de/event/878/
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