Speaker
Eckhard Von Torne
(Universitaet Bonn (DE))
Description
Deep learning neural networks are feed-forward networks
with several hidden layers. Due to their complex
architecture, such hetworks have been successfully
applied in several difficult non-HEP applications such as
face recognition. Recently the application of such networks
has been explored in the context of particle physics. We
discuss the construction and training of such neural nets within
the Toolkit for MultiVariate Analysis (TMVA) and present recent
improvements of TMVA in that field.
Primary author
Eckhard Von Torne
(Universitaet Bonn (DE))
Co-authors
Andreas Hoecker
(CERN)
Helge Voss
(Max-Planck-Gesellschaft (DE))
Jan Therhaag
(Univ. Bonn, Physikalisches Institut-Unknown-Unknown)
Joerg Stelzer
(CERN)
Peter Speckmayer
