sh3rlock14 / DLAI-s2-2021

Teaching material for the course of Deep Learning and Applied AI, 2nd semester 2021, Sapienza University of Rome

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Deep Learning & Applied AI @Sapienza

Course material, 2nd semester a.y. 2020/2021, Dept. of Computer Science

News

  • 02/03/2021: The lecture on March 3 will be our first live coding session. We will use a Discord server as our virtual meeting place. Please create an account (it's free); further details will be shared as a github issue.

Logistics

Lecturer: Prof. Emanuele RodolĂ 

Assistants: Dr. Luca Moschella, Dr. Antonio Norelli

When: Wednesdays 09:00--12:00 and Thursdays 17:00--19:00 (official schedule)

Where:

  • Physically: Aula 1 - Aule L Via del Castro Laurenziano 7a

Important: Please use Infostud Lab (not Prodigit!) for booking a seat in the classroom. This should be done no later than 48h from the start of the lecture.

Q & A: Please use the issue system of Github. Here is the link to the course repository, you'll need to create a free account to access it.

Pre-requisites

Programming fundamentals in Python; calculus; linear algebra.

Textbook and reading material

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.

Grading

Check later for details.

Lectures

All the lectures (video, audio and chat script) will be recorded and stored in this Google Drive folder.

Please note that the audio quality will not be very good in general, due to technical issues.

Date Topic Reading Code & Data
Wed 24 Feb Introduction slides
Thu 25 Feb Data, features, and embeddings slides
Wed 03 Mar Tensor manipulation Open In Colab

About

Teaching material for the course of Deep Learning and Applied AI, 2nd semester 2021, Sapienza University of Rome


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