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

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. Speaker(s): Roman Jácome 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 Room: 2-5; 2-7, Bldg: Edificio CENTIC, Carrera 27, calle 9, Bucaramanga, Santander, Colombia, 680002