How a (Neural) Network Operates
Every (and any) node on every (and any) network articulates (and, thus, conserves) the entire (every) (any) network.
A network is a node of nodes, where a node, on any (and every) network, articulates, and, thus, conserves, the entire (any and every) network.
Meaning redundancy is the basis for a neural network (networks in general) (nodes in general).
That is, the number ‘one’ forms a natural (neural) network with the number ‘two.’
Thus, the conservation of a circle explains the operation of a (neural) network (all networks) (any network) (any and every node on any and every network):
The Neural Network: Circling the Square
What is a Neural Network?. X and Y conserve an uber-basic circle.
What Does Artificial Intelligence Teach Us About the Universe? | HackerNoon
The String in Nature: Neural Networks | by Ilexa Yardley | The Circular Theory | Medium
All Nodes on Any Matrix: The Same | by Ilexa Yardley | The Circular Theory | Medium
How to Actualize A Network. Say it’s actualized. | by Ilexa Yardley | The Circular Theory | Medium
What The Brain Requires To Function | by Ilexa Yardley | The Circular Theory | Medium
How the Brain Operates: XYZ is XY YX XX — The Circular Theory — Medium
See, also, neuro articles: neuro — The Circular Theory — Medium
See, also, bio articles: bio — The Circular Theory — Medium
See, also, gene articles: gene — The Circular Theory — Medium
Readers are reminded this material is Copyright Ilexa Yardley all rights reserved.
