Open AccessHow Implicit Regularization of Neural Networks Affects the Learned Function – Part I
Author(s) -
Jakob Heiss,
Josef Teichmann,
Hanna Wutte
Publication year - 2019
Publication title -
cornell university
Language(s) - English
DOI - 10.3929/ethz-b-000402003
Subject(s) - gradient descent , artificial neural network , regularization (linguistics) , smoothing , computer science , mathematics , spline (mechanical) , maxima and minima , interpolation (computer graphics) , algorithm , artificial intelligence , mathematical optimization , mathematical analysis , motion (physics) , structural engineering , engineering , computer vision