An Optimization Method of Layered Neural Networks Based on the Modified Information Criterion
Abstract
This paper proposes a practical optimization method for layered neural networks, by which the optimal model and parameter can be found simultaneously. 'i\Te modify the conventional information criterion into a differentiable function of parameters, and then, min(cid:173) imize it, while controlling it back to the ordinary form. Effective(cid:173) ness of this method is discussed theoretically and experimentally.
Cite
Text
Watanabe. "An Optimization Method of Layered Neural Networks Based on the Modified Information Criterion." Neural Information Processing Systems, 1993.Markdown
[Watanabe. "An Optimization Method of Layered Neural Networks Based on the Modified Information Criterion." Neural Information Processing Systems, 1993.](https://mlanthology.org/neurips/1993/watanabe1993neurips-optimization/)BibTeX
@inproceedings{watanabe1993neurips-optimization,
title = {{An Optimization Method of Layered Neural Networks Based on the Modified Information Criterion}},
author = {Watanabe, Sumio},
booktitle = {Neural Information Processing Systems},
year = {1993},
pages = {293-300},
url = {https://mlanthology.org/neurips/1993/watanabe1993neurips-optimization/}
}