Espandi Menu

PORTALE DELLA DIDATTICA

PORTALE DELLA DIDATTICA

PORTALE DELLA DIDATTICA

Notifiche Email

Elenco notifiche

Short Course on Scientific Deep Learning (insegnamento su invito)

01QDVIW

A.A. 2023/24

Course Language

Inglese

Degree programme(s)

Doctorate Research in Ingegneria Aerospaziale - Torino

Course structure
Teaching Hours
Lezioni 9
Lecturers
Teacher Status SSD h.Les h.Ex h.Lab h.Tut Years teaching
Co-lectures
Espandi
Context
SSD CFU Activities Area context
*** N/A ***    
Date d'appello
Orario delle lezioni
Statistiche superamento esami
This course discusses various aspects of an important class of scientific machine learning, namely scientific deep learning. To that end, the course will cover the following topics (with certain depths including proofs of relevant theorems): 1) statistical machine learning framework with deep learning, 2) universal approximation theorem for ReLU network 3) Back-propagation for gradient computation. If time permits, we will cover the gradient vanishing problem in deep learning and ResNet as an approach to overcome these problems
This course discusses various aspects of an important class of scientific machine learning, namely scientific deep learning. To that end, the course will cover the following topics (with certain depths including proofs of relevant theorems): 1) statistical machine learning framework with deep learning, 2) universal approximation theorem for ReLU network 3) Back-propagation for gradient computation. If time permits, we will cover the gradient vanishing problem in deep learning and ResNet as an approach to overcome these problems
-
-
Guest Lecture: Tan Bui-Than - The Oden Institute for Computational Engineering and Sciences, University of Texas at Austin
Guest Lecture: Tan Bui-Than - The Oden Institute for Computational Engineering and Sciences, University of Texas at Austin
In presenza
On site
Presentazione orale
Oral presentation
P.D.2-2 - Giugno
P.D.2-2 - June