Tun {nnR} | R Documentation |
Tun: The function that returns tunneling neural networks
Description
Tun: The function that returns tunneling neural networks
Usage
Tun(n, d = 1)
Arguments
n |
The depth of the tunnel network where |
d |
The dimension of the tunneling network. By default it is assumed to be |
Value
A tunnel neural network of depth n. A tunneling neural
network is defined as the neural network \mathsf{Aff}_{1,0}
for n=1
,
the neural network \mathsf{Id}_1
for n=1
and the neural network
\bullet^{n-2}\mathsf{Id}_1
for n >2
. For this to work we
must provide an appropriate n
and instantiate with ReLU at some
real number x
.
References
Definition 2.17. Rafi S., Padgett, J.L., Nakarmi, U. (2024) Towards an Algebraic Framework For Approximating Functions Using Neural Network Polynomials https://arxiv.org/abs/2402.01058
Examples
Tun(4)
Tun(4, 3) |> view_nn()
Tun(5)
Tun(5, 3)
[Package nnR version 0.1.0 Index]