BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:America/New_York BEGIN:DAYLIGHT DTSTART:20260308T030000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:EDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20261101T010000 TZOFFSETFROM:-0400 TZOFFSETTO:-0500 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:EST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20260408T174231Z UID:AF199872-EB87-481F-AA62-C91F35842C4E DTSTART;TZID=America/New_York:20260407T090000 DTEND;TZID=America/New_York:20260407T133000 DESCRIPTION:These are two NVIDIA workshops and attendees who have registere d must attend both sessions\, on March 31st and April 7th.\n\nFundamentals of Deep Learning is a hands-on workshop designed by NVIDIA that introduce s how businesses use AI\, particularly deep learning\, to solve real-world challenges across industries such as healthcare\, retail\, and automotive . Participants learn the fundamentals of training deep learning models\, i ncluding techniques such as data augmentation and transfer learning. Throu gh practical exercises and a final project\, students build models from sc ratch and leverage pre-trained models\, with all hands-on modules running on NVIDIA-hosted cloud resources. Those who complete the project and asses sments receive an NVIDIA certificate. Space is limited to 40 participants. \nMore information: https://www.nvidia.com/en-sg/training/instructor-led-w orkshops/fundamentals-of-deep-learning/\n\nCo-sponsored by: Faculty of Sci ence and Technology\, Humber Polytechnic / NVIDIA\n\nSpeaker(s): Dr. Ernes t Namdar\, Ernest Namdar\n\nAgenda: \nLearning Objectives\n\nBy participat ing in this workshop\, you’ll:\n\n- Learn the fundamental techniques and tools required to train a deep learning model\n- Gain experience with com mon deep learning data types and model architectures\n- Enhance datasets t hrough data augmentation to improve model accuracy\n- Leverage transfer le arning between models to achieve efficient results with less data and comp utation\n- Build confidence to take on your own project with a modern deep learning frameworkhttps://www.nvidia.com/content/dam/en-zz/Solutions/deep -learning/deep-learning-education/dli-fundamentals-of-deep-learning-136982 8-r3-web.pdf\n\nRoom: J134-NORTH BUILDING\, 205 Humber College Blvd\, 1502 \, Toronto\, Ontario\, Canada\, M9W 5L7 LOCATION:Room: J134-NORTH BUILDING\, 205 Humber College Blvd\, 1502\, Toron to\, Ontario\, Canada\, M9W 5L7 ORGANIZER:maryam.davoudpour@humber.ca SEQUENCE:6 SUMMARY:Fundamentals of Deep Learning-Workshop2 URL;VALUE=URI:https://events.vtools.ieee.org/m/550546 X-ALT-DESC:Description: <br /><div data-olk-copy-source="MessageBody">These are two NVIDIA workshops and attendees who have registered must attend bo th sessions\, on March 31st and April 7th.</div>\n<div data-olk-copy-sourc e="MessageBody">&nbsp\;</div>\n<div data-olk-copy-source="MessageBody">Fun damentals of Deep Learning is a hands-on workshop designed by <span class= "markbf81281na" data-markjs="true" data-ogac="" data-ogab="" data-ogsc="" data-ogsb="">NVIDIA</span>&nbsp\;that introduces how businesses use AI\, p articularly deep learning\, to solve real-world challenges across industri es such as healthcare\, retail\, and automotive. Participants learn the fu ndamentals of training deep learning models\, including techniques such as &nbsp\;data augmentation and transfer learning. Through practical exercise s and a final project\, students build models from scratch and leverage pr e-trained models\, with all hands-on modules running on&nbsp\;<span class= "markbf81281na" data-markjs="true" data-ogac="" data-ogab="" data-ogsc="" data-ogsb="">NVIDIA</span>-hosted cloud resources. Those who complete the project and assessments receive an&nbsp\;<span class="markbf81281na" data- markjs="true" data-ogac="" data-ogab="" data-ogsc="" data-ogsb="">NVIDIA</ span>&nbsp\;certificate. Space is limited to 40 participants.</div>\n<div> More information:&nbsp\;<a id="OWA7503d542-0296-b088-a147-9dec09121b75" ti tle="https://www.nvidia.com/en-sg/training/instructor-led-workshops/fundam entals-of-deep-learning/" href="https://www.nvidia.com/en-sg/training/inst ructor-led-workshops/fundamentals-of-deep-learning/" target="_blank" rel=" noopener" data-auth="NotApplicable" data-linkindex="1">https://www.<span c lass="markbf81281na" data-markjs="true" data-ogac="" data-ogab="" data-ogs c="" data-ogsb="">nvidia</span>.com/en-sg/training/instructor-led-workshop s/fundamentals-of-deep-learning/</a></div><br /><br />Agenda: <br /><h3>Le arning Objectives</h3>\n<div><br>By participating in this workshop\, you&r squo\;ll:</div>\n<ul>\n<li>Learn the fundamental techniques and tools requ ired to train a deep learning model</li>\n<li>Gain experience with common deep learning data types and model architectures</li>\n<li>Enhance dataset s through data augmentation to improve model accuracy</li>\n<li>Leverage t ransfer learning between models to achieve efficient results with less dat a and computation</li>\n<li>Build confidence to take on your own project w ith a modern deep learning framework<a href="https://www.nvidia.com/conten t/dam/en-zz/Solutions/deep-learning/deep-learning-education/dli-fundamenta ls-of-deep-learning-1369828-r3-web.pdf">https://www.nvidia.com/content/dam /en-zz/Solutions/deep-learning/deep-learning-education/dli-fundamentals-of -deep-learning-1369828-r3-web.pdf</a></li>\n</ul> END:VEVENT END:VCALENDAR