[visionlist] AIDA Short Courses: "Nvidia DLI - Fundamentals of Deep Learning", 2nd February 2023

[Ioanna Koroni]

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 at inf.unideb.hu <mailto:hajdu.andras at 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:
<https://inf.unideb.hu/en/nvidia-deep-learning-institute> 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
<https://www.i-aida.org/course/nvidia-dli-fundamentals-of-deep-learning/>
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  <mailto:hajdu.andras at inf.unideb.hu> hajdu.andras at inf.unideb.hu

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