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).