Deep learning. Theoretical introduction and its application for face detection, recognition and camuflage.

A.Y. 2019/2020
Lesson for
3
ECTS
15
Overall hours
Lesson period
February
Language
English
The course aims at introducing deep learning from a theoretical point of view, specifying the peculiarities of several architectures such as Deep Feedforward Networks, Convolutional Networks, Recurrent and Recursive Nets, Autoencoders and GANs. As a case study, systems for processing and understanding images and videos representing human faces will be presented and analized.
Undefined
Assessment methods
Giudizio di approvazione
Assessment result
superato/non superato
Professor(s)