nnf_leaky_relu

Applies element-wise,
\(LeakyReLU(x) = max(0, x) + negative_slope * min(0, x)\)

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_leaky_relu function

<dl><dt>input</dt>
<dd>(N,*) tensor, where * means, any number of additional
dimensions</dd>
<dt>negative_slope</dt>
<dd>Controls the angle of the negative slope. Default: 1e-2</dd>
<dt>inplace</dt>
<dd>can optionally do the operation in-place. Default: FALSE</dd></dl>

Arguments

Leaky_relu — nnf_leaky_relu

<dl>

<dt>input</dt>
<dd>(N,*) tensor, where * means, any number of additional
dimensions</dd>


<dt>negative_slope</dt>
<dd>Controls the angle of the negative slope. Default: 1e-2</dd>


<dt>inplace</dt>
<dd>can optionally do the operation in-place. Default: FALSE</dd>

</dl>

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nnf_leaky_relu: Leaky_relu

Description

Usage

Arguments