Neural Network Visualization
Abstract
We have developed graphics to visualize static and dynamic infor(cid:173) mation in layered neural network learning systems. Emphasis was placed on creating new visuals that make use of spatial arrange(cid:173) ments, size information, animation and color. We applied these tools to the study of back-propagation learning of simple Boolean predicates, and have obtained new insights into the dynamics of the learning process.
Cite
Text
Wejchert and Tesauro. "Neural Network Visualization." Neural Information Processing Systems, 1989.Markdown
[Wejchert and Tesauro. "Neural Network Visualization." Neural Information Processing Systems, 1989.](https://mlanthology.org/neurips/1989/wejchert1989neurips-neural/)BibTeX
@inproceedings{wejchert1989neurips-neural,
title = {{Neural Network Visualization}},
author = {Wejchert, Jakub and Tesauro, Gerald},
booktitle = {Neural Information Processing Systems},
year = {1989},
pages = {465-472},
url = {https://mlanthology.org/neurips/1989/wejchert1989neurips-neural/}
}