Open AccessDeep Form Finding Using Variational Autoencoders for deep form finding of structural typologies
Author(s) -
De Miguel,
Jaime,
e Villafa,
Maria Eugênia,
Piškorec,
Luká,
Sancho-Caparrini,
) Fernando
Publication year - 2019
Publication title -
blucher design proceedings
Language(s) - English
Resource type - Conference proceedings
DOI - 10.5151/proceedings-caadesigradi2019_514
Subject(s) - autoencoder , representation (politics) , computer science , artificial intelligence , set (abstract data type) , deep learning , field (mathematics) , artificial neural network , architecture , machine learning , algorithm , pattern recognition (psychology) , mathematics , art , politics , political science , pure mathematics , law , visual arts , programming language