Pwr: Pwr

In nnR: Neural Networks Made Algebraic

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.

nnR documentation built on May 29, 2024, 2:02 a.m.