E-Entropy and the Complexity of Feedforward Neural Networks
Abstract
We develop a. new feedforward neuralnet.work represent.ation of Lipschitz functions from [0, p]n into [0,1] ba'3ed on the level sets of the function. We show that
Cite
Text
Williamson. "E-Entropy and the Complexity of Feedforward Neural Networks." Neural Information Processing Systems, 1990.Markdown
[Williamson. "E-Entropy and the Complexity of Feedforward Neural Networks." Neural Information Processing Systems, 1990.](https://mlanthology.org/neurips/1990/williamson1990neurips-eentropy/)BibTeX
@inproceedings{williamson1990neurips-eentropy,
title = {{E-Entropy and the Complexity of Feedforward Neural Networks}},
author = {Williamson, Robert C.},
booktitle = {Neural Information Processing Systems},
year = {1990},
pages = {946-952},
url = {https://mlanthology.org/neurips/1990/williamson1990neurips-eentropy/}
}