ngth: 15 hours - 3 cfu
Abstract
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.
Dates & Venue
| Giorni | Aula | Orario |
| 05/02/2020 | Meeting Room 3rd floor - Via Celoria 18 - 20133 Milano | 10:30-13:30 |
| 10/02/2020 | Meeting Room 3rd floor - Via Celoria 18 - 20133 Milano | 10:30-13:30 |
| 12/02/2020 | Meeting Room 3rd floor - Via Celoria 18 - 20133 Milano | 10:30-13:30 |
| 17/02/2020 | Aula Tau - Via Celoria 18 - 20133 Milano | 10:30-13:30 |
| 19/02/2020 | Meeting Room 3rd floor - Via Celoria 18 - 20133 Milano | 14:00-17:00 |