Question

What is a Neural Nets way of classifying inputs.

Answer 1

A function (g) that sums the weights and maps the results to an output (y). Neurons are organized into layers: input, hidden and output. The input layer is composed not of full neurons, but rather consists simply of the record's values that are inputs to the next layer of neurons.

Answer 2

In Neural Nets classification, inputs are classified in multi-class classifications. Through multi layer perceptrons inputs can be classified in N binary neurons that lead to multi-class input classifications.  The final layer of a neural network is an algebraic simplification known as an algebraic simplification. It then normalizes each class by the sum of N-1 other classifiers.