AI Lab: Computer Vision and NLP

General Information

The course aims to provide technical skills in two modern branches of Machine Learning, namely, Computer Vision and Natural Language Processing. To fully understand the topics of the course, the student needs the basics of Python programming, as well as the basics of calculus and linear algebra.

Lectures Information

The lectures will start on Thursday, February 24th, in class "Aula 3", building CU028. The building location can be seen here: Sapienza Map

Lectures hours are:

Thursday: from 08:00 to 10:00

Friday: from 08:00 to 11:00


For those students that want to attend at home, the following zoom link can be used:

https://uniroma1.zoom.us/j/83036566145?pwd=VGYxTGJINnRoMUNMcUdydW4rZXFrUT09

Notice that the above link can be accessed only with a valid student email, which have the form <lastname>.<student_id>@studenti.uniroma1.it

Study material and course announcements can be found at the google classroom of the course:

https://classroom.google.com/c/NDY0MTkyNzU5NTYz?cjc=ihhfeud

Books

All the required notions can be found within the material provided on the google classroom. However, the following books can be used to further deepen the lecture topics:

- Deep Learning, Ian Goodfellow and Yoshua Bengio and Aaron Courville, MIT Press

- Computer Vision: Algorithms and Applications, 2nd ed., Richard Szeliski, Springer

- Speech and Language Processing , Dan Jurafsky and James H. Martin , Prentice Hall