INVITED RESEARCHER: JAD MOUNAYER
–SUMARY: THIS TALK INCLUDES A FEW ADVANCED TOPICS IN ARTIFICIAL INTELLIGENCE.
TO BEGIN WITH, A FEW IMPORTANT TIPS ABOUT TRAINING NEURAL NETWORKS LLAURE
DISCUSSED. AFTERWARDS, THE MACHINE LEARNING LIBRARY JAX IS PRESENTED,
FOLLOWED BY SOME CODING LIVE THAT EXPLAINS HOW JIT COMPILATION IS DONE AND
WHY A DEVELOPER WOULD CHOOSE JAX OVER OTHERS (E.G. PYTORCH, TENSORFLOW).
THE TALK WILL ALSO INCLUDE NOVELL STATE OF THE ART ARCHITECTURES IN BOTH TIME
SÈRIES PREDICTIONS AND GENERATIVE DESIGN. FOR TIME SÈRIES, NEURAL CDES AND PU-
NODES LLAURE PRESENTED. FOR THE LATTER, RANK REDUCTION AUTOENCODERS LLAURE
EXPLAINED ALONG WITH HOW TO PERFORM INTERPOLATION, CLASSIFICATION, OR
GENERATIVE DESIGN USING THIS ARCHITECTURE.
QUAN:
Si eres alumne: 26 de setembre de 12.30 a 13.30 h
aula S01 de l’ETSIADI
Si eres investigador: 27 de setembre de 12.00 a 13.00 h.
Biblioteca de l’institut de disseny per a la fabricació (IDF) CPI 8G. baix