Tay {nnR}R Documentation

The Tay function

Description

The Tay function

Usage

Tay(f, n, q, eps)

Arguments

f

the function to be Taylor approximated, for now "exp", "sin" and "cos". NOTE use the quotation marks when using this argument.

n

The number of Taylor iterations. Accuracy as well as computation time increases as n increases

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

Value

a neural network that approximates the function f. For now only sin, cos, and e^x are available.

Examples

Tay("sin", 2, 2.3, 0.3) |> inst(ReLU, 1.5) # May take some time, please only click once
Tay("cos", 2, 2.3, 0.3) |> inst(ReLU, 1) # May take some time, please only click once
Tay("exp", 4, 2.3, 0.3) |> inst(ReLU, 1.5) # May take some time, please only click once



[Package nnR version 0.1.0 Index]