Fundamentals of Deep Learning: From Neural Networks to LLMs, Theory and Practice

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This event introduces the fundamentals of Deep Learning, covering from Convolutional Neural Networks (CNNs) to Large Language Models (LLMs). 

The activity includes:
- Theoretical session: 09:00 am - 12:00 pm
- Practical hands-on session: 02:00 pm - 05:00 pm

Participants must attend both sessions. The event is organized by the IEEE Computer Society Student Branch Chapter in collaboration with the High Dimensional Signal Processing Research Group.


  Date and Time

  Location

  Hosts

  Registration


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  • Carrera 27, calle 9
  • Bucaramanga, Santander
  • Colombia 680002
  • Building: Edificio CENTIC
  • Room Number: 2-5; 2-7
  • Contact Event Host

  Speakers

Roman Jácome of High Dimensional Signal Processing Research Group

Topic:

Fundamentals of Deep Learning

“Fundamentals of Deep Learning: From Neural Networks to Large Language Models, Theory and Practice” aims to provide undergraduate students at the Universidad Industrial de Santander with a solid understanding of the fundamental concepts of artificial intelligence, offering a detailed mathematical description of these models, the basic algorithms that govern them, and relevant applications. In this way, the talk helps strengthen students’ skills in artificial intelligence while fostering an interest in research and the development of solutions based on these tools. 




Agenda

09:00 – 09:15: Opening and welcome
09:15 – 10:30: Fundamentals of Neural Networks and Deep Learning
10:30 – 10:45: Break
10:45 – 12:00: Convolutional Neural Networks (CNNs)

12:00 – 02:00: Lunch Break

02:00 – 03:30: Introduction to Transformers and LLMs
03:30 – 03:45: Break
03:45 – 05:00: Practical Session