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