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DTSTART:20241118T190000Z
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SUMMARY:Generative AI with Diffusion Models (Part 3/3)
DESCRIPTION:This three-part workshop will dive deeper into denoising 
 diffusion models\, which are a popular choice for text-to-image 
 pipelines.\n\nApplications of this technology include creative content 
 generation\, data augmentation\, simulation and planning\, anomaly 
 detection\, drug discovery\, personalized recommendations\, and more. 
 \n\nThis third and final session will focus on autoencoders and variational 
 autoencoders and then go toward diffusion models.\n\nImportant\n\nThis is 
 the third session of a three-part course. Register for the series through 
 session 1.\nA laptop is required to participate. Students can borrow a 
 laptop through the library’s Tech Lending program. \n\nPrerequisites: 
 \n\n\n	A basic understanding of Deep Learning Concepts.\n	Familiarity with 
 a Deep Learning framework such as TensorFlow\, PyTorch\, or Keras. This 
 course uses PyTorch.\n	Completion of Session 1 held on Nov 4\n	Completion 
 of Session 2 held on Nov 11\n
LOCATION:The Catalyst (Parks 199)
ORGANIZER;CN="Aditya Balu":MAILTO:baditya@iastate.edu
CATEGORIES:The Catalyst
CONTACT;CN="Aditya Balu":MAILTO:baditya@iastate.edu
STATUS:CONFIRMED
UID:LibCal-12906006
URL:https://iastate.libcal.com/event/12906006
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