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</o:shapelayout></xml><![endif]--></head><body lang=EL link="#0563C1" vlink="#954F72" style='word-wrap:break-word'><div class=WordSection1><p class=MsoNormal><a name="_Hlk124429099"><span lang=EN-US><img width=576 height=324 style='width:6.0in;height:3.375in' id="_x0395__x03b9__x03ba__x03cc__x03bd__x03b1__x0020_1" src="cid:image001.png@01D92732.F8E22AC0"></span></a><span style='mso-bookmark:_Hlk124429099'><span lang=EN-US><o:p></o:p></span></span></p><p class=MsoNormal><span style='mso-bookmark:_Hlk124429099'><span lang=EN-US><o:p> </o:p></span></span></p><p class=MsoNormal><span style='mso-bookmark:_Hlk124429099'><span lang=EN-US><o:p> </o:p></span></span></p><p class=MsoNormal><span style='mso-bookmark:_Hlk124429099'><span lang=EN-US>Nvidia DLI and University Debrecen organize</span></span><span lang=EN-US> an online AIDA short course on “Fundamentals of Deep Learning” offered through the International Artificial Intelligence Doctoral Academy (AIDA). <o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>The purpose of this course is to learn how deep learning works through hands-on exercises in computer vision and natural language processing. You’ll also learn to leverage freely available, state-of-the-art pre-trained models to save time and get your deep learning application up and running quickly.<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>This short course will cover the following topics:<o:p></o:p></span></p><ul style='margin-top:0in' type=disc><li class=MsoListParagraphCxSpFirst style='color:black;margin-left:0in;mso-add-space:auto;mso-list:l1 level1 lfo3'><span lang=EN-US style='mso-fareast-language:IT'>The Mechanics of Deep Learning (120 mins), <o:p></o:p></span></li><li class=MsoListParagraphCxSpMiddle style='color:black;margin-left:0in;mso-add-space:auto;mso-list:l1 level1 lfo3'><span lang=EN-US style='mso-fareast-language:IT'>Pre-trained Models and Recurrent Networks (120 mins), <o:p></o:p></span></li><li class=MsoListParagraphCxSpLast style='color:black;margin-left:0in;mso-add-space:auto;mso-list:l1 level1 lfo3'><span lang=EN-US style='mso-fareast-language:IT'>Final Project: Object Classification (120 mins).<o:p></o:p></span></li></ul><p class=MsoNormal><span lang=EN-US>LECTURER: <o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>- Dr. Andras Hajdu, Full Professor<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>Nvidia Deep Learning Institute Certified Instructor and Ambassador, email: <a href="mailto:hajdu.andras@inf.unideb.hu">hajdu.andras@inf.unideb.hu</a><o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US><o:p> </o:p></span></p><p class=MsoNormal><span lang=EN-US>HOST INSTITUTION/ORGANIZER: Nvidia Deep Learning Institute, Faculty of Informatics, University of Debrecen, Hungary<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> <o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>REGISTRATION: <a name="_Hlk124428809">Free of charge for university students and </a>staff<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> <o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>WHEN: February 2, 2023 from 09:00 to 17:00 CET<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US><o:p> </o:p></span></p><p class=MsoNormal><span lang=EN-US>WHERE: Online<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US><o:p> </o:p></span></p><p class=MsoNormal><span lang=EN-US>HOW TO REGISTER and ENROLL: <o:p></o:p></span></p><p class=MsoListParagraphCxSpFirst style='margin-left:0in;mso-add-space:auto'><span lang=EN-US>Both AIDA and non-AIDA students are encouraged to participate in this short course.<o:p></o:p></span></p><p class=MsoListParagraphCxSpMiddle style='margin-left:0in;mso-add-space:auto'><span lang=EN-US><o:p> </o:p></span></p><p class=MsoListParagraphCxSpMiddle style='margin-left:0in;mso-add-space:auto'><a name="_Hlk124428557"><span lang=EN-US>If you are an AIDA Student* already, please: <o:p></o:p></span></a></p><p class=MsoListParagraphCxSpMiddle style='margin-left:0in;mso-add-space:auto'><span style='mso-bookmark:_Hlk124428557'><span lang=EN-US>Step (a) register in the course by following the </span></span><span style='mso-bookmark:_Hlk124428557'><b><span lang=EN-US style='color:black;mso-fareast-language:IT'>Course Link: </span></b></span><a href="https://inf.unideb.hu/en/nvidia-deep-learning-institute"><span style='mso-bookmark:_Hlk124428557'><span lang=EN-US>Nvidia Deep Learning Institute | University of Debrecen (unideb.hu)</span></span><span style='mso-bookmark:_Hlk124428557'></span></a><span style='mso-bookmark:_Hlk124428557'><span lang=EN-US> AND <o:p></o:p></span></span></p><p class=MsoListParagraphCxSpMiddle style='margin-left:0in;mso-add-space:auto'><span style='mso-bookmark:_Hlk124428557'><span lang=EN-US>Step (b) enroll in the same course in the AIDA system using the enrollment button in the AIDA course page </span></span><a href="https://www.i-aida.org/course/nvidia-dli-fundamentals-of-deep-learning/"><span style='mso-bookmark:_Hlk124428557'><span lang=EN-US>Nvidia DLI – Fundamentals of Deep Learning - AIDA - AI Doctoral Academy (i-aida.org)</span></span><span style='mso-bookmark:_Hlk124428557'></span></a><span style='mso-bookmark:_Hlk124428557'><span lang=EN-US>, so that this course enter your AIDA Course Attendance Certificate. <o:p></o:p></span></span></p><span style='mso-bookmark:_Hlk124428557'></span><p class=MsoListParagraphCxSpMiddle style='margin-left:0in;mso-add-space:auto'><span lang=EN-US><o:p> </o:p></span></p><p class=MsoListParagraphCxSpMiddle style='margin-left:0in;mso-add-space:auto'><span lang=EN-US>If you are not an AIDA Student do only step (a). <o:p></o:p></span></p><p class=MsoListParagraphCxSpMiddle style='margin-left:0in;mso-add-space:auto'><span lang=EN-US><o:p> </o:p></span></p><p class=MsoListParagraphCxSpLast style='margin-left:0in;mso-add-space:auto;text-align:justify'><span lang=EN-US>*AIDA Students should have been registered in the AIDA system already (they are PhD students or PostDocs that belong only to the AIDA Members listed in this page: <a href="https://www.i-aida.org/about/members/">https://www.i-aida.org/about/members/</a>)<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> <o:p></o:p></span></p><p class=MsoNormal><a name="_Hlk124428327"></a><a name="_Hlk124428966"><span style='mso-bookmark:_Hlk124428327'><span lang=EN-US>Dr. Andras Hajdu, Full Professor<o:p></o:p></span></span></a></p><p class=MsoNormal><span style='mso-bookmark:_Hlk124428966'><span style='mso-bookmark:_Hlk124428327'><span lang=EN-US>Nvidia Deep Learning Institute Certified Instructor and Ambassador</span></span></span><span style='mso-bookmark:_Hlk124428327'><span lang=EN-US><o:p></o:p></span></span></p><p class=MsoNormal><span style='mso-bookmark:_Hlk124428327'><span lang=EN-US>Email </span><a name="_Hlk124429000"></a></span><a href="mailto:hajdu.andras@inf.unideb.hu"><span style='mso-bookmark:_Hlk124428327'><span style='mso-bookmark:_Hlk124429000'><span lang=EN-US>hajdu.andras@inf.unideb.hu</span></span></span><span style='mso-bookmark:_Hlk124429000'></span><span style='mso-bookmark:_Hlk124428327'></span></a><span style='mso-bookmark:_Hlk124428327'></span><span lang=EN-US><o:p></o:p></span></p></div></body></html>