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BEGIN:VEVENT
UID:DSC-22530
DTSTART;TZID=Europe/Berlin:20260129T110000
SEQUENCE:1769668791
TRANSP:OPAQUE
DTEND;TZID=Europe/Berlin:20260129T120000
URL:https://dresden-science-calendar.de/calendar/de/detail/22530
LOCATION:IFW\, Helmholtzstraße 2001069 Dresden
SUMMARY:Kononenko: Deep Learning:Fundamentals and When to Use It
CLASS:PUBLIC
DESCRIPTION:Speaker: Dr. Denys Kononenko\nInstitute of Speaker: IFW Dresden
  / ITF\nTopics:\n\n Location:\n  Name: IFW (D2E.27\, IFW Dresden)\n  Stree
 t: Helmholtzstraße 20\n  City: 01069 Dresden\n  Phone: \n  Fax: \nDescrip
 tion: This talk introduces the core principles of deep learning and discus
 ses when its application is truly worthwhile. We will explore how neural n
 etworks learn hierarchical representations from data\, what sets deep lear
 ning apart from traditional machine learning\, and how data scale and mode
 l complexity define its strengths and limitations. The focus will be on re
 cognizing situations where deep learning provides clear advantages\, such 
 as handling unstructured or high-dimensional data\, uncovering hidden rela
 tionships\, or enabling generative modeling\, and where simpler approaches
  remain more effective. The goal is to give an intuitive\, balanced overvi
 ew of what deep learning can (and cannot) do\, helping to understand when 
 it should be applied in practice. .
DTSTAMP:20260420T160126Z
CREATED:20251216T063937Z
LAST-MODIFIED:20260129T063951Z
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