This mini-course will be composed by self-contained lectures dealing with advanced deep learning topics. (2021/2022)

  1. Home
  2. Teaching
  3. PhD programmes
  4. PhD in Computer Science
  5. Insegnamenti
Course code
cod wi: DT000245
Name of lecturer
Vittorio Murino
Coordinator
Vittorio Murino
Number of ECTS credits allocated
2
Academic sector
INF/01 - INFORMATICS
Language of instruction
Italian
Location
VERONA
Period
A.A. 21/22 dottorato dal Oct 1, 2021 al Sep 30, 2022.
Course news Seminars related to the course

Lesson timetable

Go to lesson schedule

Learning outcomes

This mini-course is composed by self-contained (as much as possible) lectures dealing with advanced deep learning topics.

Syllabus

This mini-course is composed by self-contained lectures dealing with advanced deep learning topics.
Topics of interest may include domain adaptation, unsupervised and self-supervised learning, semi-supervised learning, and multimodal learning.
Exact program to be defined.

Assessment methods and criteria

Oral discussion with the teacher or the development of a project (to be agreed with the teacher).

Share