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 2020
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
How to enrol

Deadlines

The course enrolment deadline is usually the 25th day of the month prior to the start date. More specifically:

  • for courses starting in April 202125 March 2021
  • for courses starting in May 202126 April 2021.

Enrolment deadlines for courses starting in subsequent months will be announced shortly.

How to enrol

  1. Access enrolment on PhD courses online service using your University login details
  2. Select the desired programme and click on Registration (Iscrizione) and then on Register (Iscriviti)

Ignore the option "Exam session date” that appears during the enrolment procedure.

Contact

For help please contact phd@unimi.it

Professor(s)