Speaker
Petr Bouř
(Department of Mathematics, FNSPE Czech Technical University in Prague)
Description
With the raise of modern computing capabilities and new approaches in deep learning, we are able to design convolutional neural networks suitable for purposes of particle identification at NOvA Experiment in Fermilab. Utilizing deep learning techniques leads to the signifcant increase in signal effciency classifcation. We provide an overview of the experiment setup, raw data measurements and application of convolutional visual network.
Primary author
Petr Bouř
(Department of Mathematics, FNSPE Czech Technical University in Prague)
