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.