How Tensor Flow Explains Everything About Everything
Input equals output. (Pi connects everything to everything.)
In a node based system, where any node can repeat any other node, or not, input, and, output are the same. This means, in programming terms, if X, then Y, means, if Y, then X. This is a single circular node, where input equals output. Nothing more. Or less.
A single circular node exists as an abstract reality. Meaning there is a circular relationship between abstract and reality. Where you cannot have one, without the other.
Therefore, input-output-process is the definition of a circular node (pi-diameter-circumference), where input, output, process, are, nodes within nodes. Where a node does not have priority over any other node.
This means an array of arrays (a node of nodes) defines reality. Technologists, as abstract thinkers, have an edge, when it comes to understanding this, and, also, when it comes to applying this.
Meaning, if I say to a technologist, input always equals output, he, or she, will understand, the ambiguity necessary for a process to exist. Taken literally, a process is dependent on both input, and, output. And, also, vice versa.
Therefore, underneath the tensor, flow, is an entity, that shares a circle with, a process, where entity, and, process cannot be strictly categorized. Therefore, we stick with objects. Where an object, to a technologist, can be anything. Input. Output. Process.
Where process is both a noun. And a verb. (Because circle is both a noun, and a verb).
Conservation of the circle is the core dynamic in nature.
