What is a Neural Network?
X and Y conserve an uber-basic circle.
X and Y conserve an uber-basic circle, which is the what, why, how of a neural network.
A matrix is a square of squares (nodes), which is the definition of an index (X and Y are joined and separated by pi), where index (i) is always an imaginary number (plus and minus one) (meaning a matrix is, always, a circle) (because a line, or a set of lines, reduces and expands to one line, which is, necessarily, diameter and circumference, conservation and symmetry, of a circle).
Therefore, the programming language ‘J’ (formerly APL) articulates a neural network (redundancy (duplication, negation) is the most protective mechanism in nature) (X and X articulate a circle) (everything is indexed to everything else automatically, and naturally, by pi) (including, and especially, life and death) (zero and one) (X and Y) (any symbol) (every symbol).
Conservation of the circle is the core dynamic in nature.
