Master (Laurea Magistrale) in: Artificial Intelligence and Robotics
Emergency AA 2020-21
Send an email to the teacher, with institutional address (surname.MATR@studenti.uniroma1.it) to be included in the course mailing list.
Course begins September, 23 2020,
ends 18 December .
Wednesday 9:00 - 13:00 - A11, SPV
Wednesday 17:00 - 19:00 - A5, SPV
Tools - FTP download
International labs link
This course introduces the Deep Neural Networks (DNN) architectures, the relative (deep) learning algorithms, and their (main) applications
The educational objectives include the acquisition of the following skills: 1) knowledge and understanding of the problems related to the use of DNNs; 2) the ability to apply knowledge on DNNs in the most common problems described in the course (knowledge and know-how), 3) development of independent judgment regarding the possible optimal solution with DNNs of a given problem, 4) the development of communication skills on the topics covered in the course, 5) the ability to autonomous learning on specialized texts.
Final exam modalities
The exam consists of a discussion of an assigned project or home-work (max 24pt) and some theoretical questions (max 6pt).
The home-work is assigned to the student in the last week of the course, and typically the student can choose the project from a list of possible topics.
The project can also be done by a group of maximum 3 students. In this case the task of each individual student must be well specified.
The course will be taught in English