|
|
Dettaglio Insegnamento
| Anno Accademico |
2021/2022 |
| Corso di Studi |
Dott. - MI (1380) Ingegneria dell'Informazione / Information Technology |
| Anno di Corso |
1 |
| Codice Identificativo |
057367 |
| Denominazione Insegnamento |
ADVANCED DEEP LEARNING MODELS AND METHODS |
| Tipo Insegnamento |
MONODISCIPLINARE |
| Crediti Formativi Universitari (CFU) |
5.0 |
| Programma sintetico |
Nowadays deep learning spans multiple fields in science and engineering, from autonomous driving to human machine interaction, achieving human performance in solving many complex tasks, such as natural language processing and image recognition. This course presents recent advances in deep learning that brought data-driven models to achieve the state-of-theart performance in many diverse problems including: metric learning, image generation, reinforcement learning and graph processing. This is intended as an advanced course, thus proficiency in neural networks, convolutional neural networks and basic notions of optimization are assumed as prerequirement to the participants. |
| Settori Scientifico Disciplinari (SSD) |
|
Codice SSD
|
Descrizione SSD
|
CFU
|
|
ING-INF/05
|
SISTEMI DI ELABORAZIONE DELLE INFORMAZIONI
|
5.0
|
|
|
Scaglione
|
Docente
|
Programma dettagliato
|
|
Da (compreso)
|
A (escluso)
|
|
A
|
ZZZZ
|
Boracchi Giacomo, Giusti Alessandro, Malago' Luigi, Masci Jonatan, Matteucci Matteo
|
|
|
