Pwr {nnR}

Pwr

Description

A function that returns the \mathsf{Pwr} neural networks.

Usage

Pwr(q, eps, exponent)

Arguments

q

a real number in (2,\infty). Accuracy as well as computation time increases as q gets closer to 2 increases

eps

a real number in (0,\infty). ccuracy as well as computation time increases as \varepsilon gets closer to 0 increases

exponent

The power to which we will raise. Computation time increases as exponent increases

Value

A neural network that approximates raising a number to exponent, when given appropriate q,\varepsilon and exponent when instantiated under ReLU activation at x.

Examples

Pwr(2.1, 0.1, 2) |> inst(ReLU, 3) # This may take some time, please only click once.