Tay: The Tay function

In nnR: Neural Networks Made Algebraic

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

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