@inproceedings{03c407a362e148699b509969181167f4,
title = "Bounds on the approximation power of feed forward neural networks",
abstract = "The approximation power of general feedforward neural networks with piecewise linear activation functions is investigated. First, lower bounds on the size of a network are established in terms of the approximation error and network depth and width. These bounds improve upon state- of-the-art bounds for certain classes of functions, such as strongly convex functions. Second, an upper bound is established on the difference of two neural networks with identical weights but different activation functions.",
author = "Mohammad Mehrabi and Asian Tchamkerten and Yousefi, \{Mansoor I.\}",
note = "Publisher Copyright: {\textcopyright} The Author(s) 2018.; 35th International Conference on Machine Learning, ICML 2018 ; Conference date: 10-07-2018 Through 15-07-2018",
year = "2018",
month = jan,
day = "1",
language = "English",
series = "35th International Conference on Machine Learning, ICML 2018",
publisher = "International Machine Learning Society (IMLS)",
pages = "5531--5539",
editor = "Jennifer Dy and Andreas Krause",
booktitle = "35th International Conference on Machine Learning, ICML 2018",
}