DLAI-s2-2025

Deep Learning & Applied AI @Sapienza

Course material, 2nd semester a.y. 2024/2025, Dept. of Computer Science

News ๐Ÿ—ž๏ธ

Logistics ๐Ÿงญ

Lecturer: Prof. Emanuele Rodolร 

Assistants: Dr. Daniele Solombrino, Dr. Giorgio Strano

When: Mondays 14:00โ€“16:00 and Tuesdays 13:00โ€“16:00

Where:

Physical classroom: Aula L1 - Castro Laurenziano (RM018-E01PTEL026)

There is no virtual classroom, and the lectures will not be recorded.

Pre-requisites ๐Ÿ”‘

Python fundamentals; calculus; linear algebra.

Textbook and reading material ๐Ÿ“–

Due to the continuously evolving nature of the topic, there is no fixed textbook as a reference. Specific material in the form of scientific articles and book chapters will be given throughout the lectures.

In addition:

Both of the above are a kind contribution by former students of past editions of this course.

Accessibility ๐Ÿ‘๏ธโ€๐Ÿ—จ๏ธ: Since last year, in an effort to create a more inclusive and accessible learning environment, all slides have been re-designed with readability in mind to support students with specific learning disabilities. We aim to ensure that everyone, regardless of learning differences, has equal access to the educational content provided. Should you need additional accommodations or have suggestions for further improving accessibility, please feel free to reach out.

Grading ๐Ÿ“Š

Exam dates TBD

Evaluation proceeds according to the following steps:

We may require an oral exam in doubtful cases or whenever necessary.

Past exams ๐Ÿ“‘

Exam is now project-only, but you can still find some past theoretical questions here

Lectures ๐Ÿ—ฃ๏ธ

Date Topic Reading Code & Data
Mon 03 Mar Introduction slides ย 
Tue 04 Mar Data, features, and embeddings slides ; linear algebra recap ; matrix notes ย