Deep Learning Lab
Persone
Descrizione
This course will introduce students to practical implementations of various deep learning models using Python and the PyTorch library. Recommended lectures are: Machine Learning, and basic courses on Linear Algebra, Analysis, Probability & Statistics. Basic knowledge of Python is expected, but it is not a hard requirement as long as the student is capable of learning it quickly.
Obiettivi
Through practical programming exercises, students will deepen their understanding of neural network based models. They will be exposed to various practical considerations that are crucial to make deep learning systems to perform well in practice.
Modalità di insegnamento
In presenza
Impostazione pedagogico-didattica
About 50 percent of the sessions consist of guided exercises. Different programming exercises will cover various building blocks and applications of deep learning.
Modalità d’esame
Students will be evaluated through practical assignments.
Offerta formativa
- Master of Science in Artificial Intelligence, Lezione, 1° anno
- Master of Science in Computational Science, Lezione, A scelta, 1° anno
- Master of Science in Computational Science, Lezione, A scelta, 2° anno
- Master of Science in Informatics, Lezione, Artificial Intelligence, A scelta, 1° anno
- Master of Science in Informatics, Lezione, Artificial Intelligence, A scelta, 2° anno
