BEGIN:VCALENDAR
VERSION:2.0
PRODID:researchseminars.org
CALSCALE:GREGORIAN
X-WR-CALNAME:researchseminars.org
BEGIN:VEVENT
SUMMARY:Jakub Malinowski (Dioscuri Centre in Topological Data Analysis)
DTSTART:20260413T103000Z
DTEND:20260413T123000Z
DTSTAMP:20260423T004139Z
UID:BNAT/21
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/BNAT/21/">De
 ep Learning (Part 2)</a>\nby Jakub Malinowski (Dioscuri Centre in Topologi
 cal Data Analysis) as part of Basic Notions and Applied Topology Seminar\n
 \nLecture held in Room 1 at the IMPAS\, Room 1.14 at the Institute of Info
 rmatics (University of Gdańsk).\n\nAbstract\nThe second session expands o
 n the foundations by covering more advanced deep-learning techniques and t
 heir applications. We will examine methods such as dropout learning\, netw
 ork tuning strategies\, and architectural choices that influence model per
 formance. The talk will show how deep learning can tackle complex tasks in
  domains like image recognition\, text classification\, or other high-dime
 nsional prediction problems.\n
LOCATION:https://researchseminars.org/talk/BNAT/21/
END:VEVENT
END:VCALENDAR