Deepest Neural Networks
Neural and Evolutionary Computing
2017-07-11 v1 Machine Learning
Abstract
This paper shows that a long chain of perceptrons (that is, a multilayer perceptron, or MLP, with many hidden layers of width one) can be a universal classifier. The classification procedure is not necessarily computationally efficient, but the technique throws some light on the kind of computations possible with narrow and deep MLPs.
Keywords
Cite
@article{arxiv.1707.02617,
title = {Deepest Neural Networks},
author = {Raul Rojas},
journal= {arXiv preprint arXiv:1707.02617},
year = {2017}
}
Comments
9 pages, 6 figures