AIDA Short Courses: “Nvidia DLI – Fundamentals of Deep Learning”, 2nd February 2023

Nvidia DLI and University Debrecen organize an online AIDA short course on “Fundamentals of Deep Learning” offered through the International Artificial Intelligence Doctoral Academy (AIDA). 

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.

This short course will cover the following topics:

  • The Mechanics of Deep Learning (120 mins),
  • Pre-trained Models and Recurrent Networks (120 mins),
  • Final Project: Object Classification (120 mins).

LECTURER: 

– Dr. Andras Hajdu, Full Professor

Nvidia Deep Learning Institute Certified Instructor and Ambassador, email: hajdu.andras@inf.unideb.hu

 

HOST INSTITUTION/ORGANIZER: Nvidia Deep Learning Institute, Faculty of Informatics, University of Debrecen, Hungary

 

REGISTRATION: Free of charge for university students and staff

 

WHEN: February 2, 2023 from 09:00 to 17:00 CET

 

WHERE: Online

 

HOW TO REGISTER and ENROLL: 

Both AIDA and non-AIDA students are encouraged to participate in this short course.

 

If you are an AIDA Student* already, please:

Step (a) register in the course by following the Course Link: Nvidia Deep Learning Institute | University of Debrecen (unideb.hu) AND

Step (b) enroll in the same course in the AIDA system using the enrollment button in the AIDA course page Nvidia DLI – Fundamentals of Deep Learning – AIDA – AI Doctoral Academy (i-aida.org), so that this course enter your AIDA Course Attendance Certificate.

 

If you are not an AIDA Student do only step (a).

 

*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: https://www.i-aida.org/about/members/)

 

Dr. Andras Hajdu, Full Professor

Nvidia Deep Learning Institute Certified Instructor and Ambassador

Email hajdu.andras@inf.unideb.hu

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