Artificial Intelligence

    

Representing a Neural Network as a Ggraphed Set

Authors: Ho Yeol Choi

I studied how to implement general neural network weights. The overlapping intersection between sets has a high signal ratio. What I'm trying to say is that weight gain in conventional neural networks is what happens in the part of the intersection between sets.

Comments: 5 Pages. (Note by viXra Admin: Please avoid hand-drawing and write compete article with scientific references!)

Download: PDF

Submission history

[v1] 2022-11-21 01:15:22

Unique-IP document downloads: 176 times

Vixra.org is a pre-print repository rather than a journal. Articles hosted may not yet have been verified by peer-review and should be treated as preliminary. In particular, anything that appears to include financial or legal advice or proposed medical treatments should be treated with due caution. Vixra.org will not be responsible for any consequences of actions that result from any form of use of any documents on this website.

Add your own feedback and questions here:
You are equally welcome to be positive or negative about any paper but please be polite. If you are being critical you must mention at least one specific error, otherwise your comment will be deleted as unhelpful.

comments powered by Disqus