nnf_contrib_sparsemax

Provides functionality to define and train neural networks similar to
'PyTorch' by Paszke et al (2019) <arXiv:1912.01703> but written entirely in R
using the 'libtorch' library. Also supports low-level tensor operations and
'GPU' acceleration.

Daniel Falbel

torch

Tensors and Neural Networks with 'GPU' Acceleration

Javier Luraschi

Dmitriy Selivanov

Athos Damiani

Christophe Regouby

Krzysztof Joachimiak

Hamada S. Badr

 RStudio

nnf_contrib_sparsemax function

<dl><dt>input</dt>
<dd>the input tensor</dd>
<dt>dim</dt>
<dd>The dimension over which to apply the sparsemax function. (-1)</dd></dl>

Arguments

Sparsemax — nnf_contrib_sparsemax

<dl>

<dt>input</dt>
<dd>the input tensor</dd>


<dt>dim</dt>
<dd>The dimension over which to apply the sparsemax function. (-1)</dd>

</dl>

Sparsemax

nnf_contrib_sparsemax: Sparsemax

Description

Usage

Arguments

Details