Deep learning technologies are at the core of the current revolution in artificial intelligence for multimedia data analysis. The convergence of large-scale annotated datasets and affordable GPU hardware has allowed the training of neural networks for data analysis tasks which were previously addressed with hand-crafted features.
This is a short course (based on 4 lectures) that will cover the basic principles of deep learning.
The previous course webpage can be found: [2021], [2020], [2019], [2018]
Learning Paradigms
Instructor: Elisa Sayrol
Architectures
Instructor: Elisa Sayrol
Training
Instructor: Ramon Morros
Training
Instructor: Javier Ruiz
Learning Paradigms
Instructor: Veronica Vilaplana
Architectures
Instructor: Veronica Vilaplana
Training
Instructor: Ramon Morros
Training
Instructor: Javier Ruiz
Learning Paradigms
Instructor: Ramon Morros
Learning Paradigms
Instructor: Marta R. Costa-jussà
Architectures
Instructor: Xavier Giró-i-Nieto
Architectures
Instructor: Xavier Giró-i-Nieto
Architectures
Instructor: Xavier Giró-i-Nieto