Table of Contents

Hands-on AI Tools and Techniques Workshop Series ~ Introduction to Deep Learning

  Date

  • Sunday October 20, 2024
  • 2pm - 5pm


  Venue

  • Building 1, Level 2, Room 2418 (Desert Side)



  Organizer

Abdelghafour HALIMI
Visualization Core Laboratory
abdelghafour.halimi@kaust.edu.sa

  Register

Register Here!



Workshop Materials

Pre-requisites

  • Have KAUST IT credentials (i.e. the one you use to access your KAUST email)
  • A computer (Linux/Windows/Mac) with internet connection & terminal
  • Essential knowledge of Python is necessary (Pandas, Numpy libraries…)
  • Have some experience with working with Conda package manager

Overview

This workshop is designed to introduce participants to the fundamental concepts and basic architectures of deep learning—a sophisticated subset of machine learning responsible for the most cutting-edge advancements in artificial intelligence (AI).

Without delving into overwhelming technical complexities, attendees will gain a foundational understanding of deep learning models, particularly neural networks. Utilizing the top-tier resources of the KAUST Visualization Core Lab, attendees will experience a mix of in-depth lectures and hands-on sessions, ensuring a foundational grasp of the subject.

Whether you're curious about the underlying mechanisms of image classification or computer vision, this workshop is your starting point into the transformative world of deep learning.


Who Should Attend?

  • Anyone with zero experience (or beginner/junior) who wants to learn Deep Learning, Data Science
  • You are a programmer that wants to extend their skills into Data Science and Deep Learning to make yourself more valuable
  • Anyone who wants to learn these topics from industry experts that don’t only teach, but have actually worked in the field
  • You want to add value to your own business or company you work for, by using powerful Deep Learning tools.


Agenda

Time Topic Speaker
2:00pm - 2:10pm Welcome Abdelghafour Halimi
2:10pm - 3:15pm Introduction to Deep Learning Abdelghafour Halimi
3:15pm - 3:30pm Coffee Break
3:30pm - 5pm Hands-On Session: Jupyter Notebooks Examples / Q&A Abdelghafour Halimi