Explicit neural network classifiers for non-separable data
Machine Learning
2025-06-30 v2 Artificial Intelligence
Optimization and Control
Machine Learning
Abstract
We fully characterize a large class of feedforward neural networks in terms of truncation maps. As an application, we show how a ReLU neural network can implement a feature map which separates concentric data.
Keywords
Cite
@article{arxiv.2504.18710,
title = {Explicit neural network classifiers for non-separable data},
author = {Patrícia Muñoz Ewald},
journal= {arXiv preprint arXiv:2504.18710},
year = {2025}
}
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10 pages