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Cours

CIVIL-611: Frontiers of Deep Learning for Engineers

Résumé

The seminar aims at discussing recent research papers in the field of deep learning, implementing the transferability/adaptability of the proposed approaches to applications in the field of research of the Ph.D. student.

Séances de cours

Enseignant·e·s (2)

Alexandre Massoud Alahi

Alexandre Alahi is currently an Assistant Professor at EPFL. He spent five years at Stanford University as a Post-doc and Research Scientist after obtaining his Ph.D. from EPFL. His research enables machines to perceive the world and make decisions in the context of transportation problems and smart environments. He has worked on the theoretical challenges and practical applications of socially-aware Artificial Intelligence, i.e., systems equipped with perception and social intelligence. He was awarded the Swiss NSF early and advanced researcher grants for his work on predicting human social behavior. He won the CVPR Open Source Award (2012) for his work on Retina-inspired image descriptors, and the ICDSC Challenge Prize (2009) for his sparsity-driven algorithm that has tracked more than 100 million pedestrians to date. His research has been covered internationally by BBC, abc, PBS, Euronews, Wall street journal, and other national news outlets around the world. Alexandre has also co-founded multiple startups such as Visiosafe, and won several startup competitions. He was elected as one of the Top 20 Swiss Venture leaders in 2010.

Olga Fink

Source officielle

https://edu.epfl.ch/coursebook/fr/frontiers-of-deep-learning-for-engineers-CIVIL-611

Page Moodle

http://go.epfl.ch/CIVIL-611

Résumé

Séances de cours

Enseignant·e·s (2)

Alexandre Massoud Alahi

Olga Fink

Source officielle

https://edu.epfl.ch/coursebook/fr/frontiers-of-deep-learning-for-engineers-CIVIL-611

Page Moodle

http://go.epfl.ch/CIVIL-611

Proximité ontologique

Business

Administration des affaires: Gestion de projet

Finance: Finance d'entreprise

Mathématiques

Algèbre: Algèbre générale

Information engineering

Apprentissage automatique: Réseau de neurones artificiels

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