nnf_alpha_dropout

Applies alpha dropout to the input.

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_alpha_dropout function

<dl><dt>input</dt>
<dd>the input tensor</dd>
<dt>p</dt>
<dd>probability of an element to be zeroed. Default: 0.5</dd>
<dt>training</dt>
<dd>apply dropout if is <code>TRUE</code>. Default: <code>TRUE</code></dd>
<dt>inplace</dt>
<dd>If set to <code>TRUE</code>, will do this operation in-place.
Default: <code>FALSE</code></dd></dl>

Arguments

Alpha_dropout — nnf_alpha_dropout

<dl>

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


<dt>p</dt>
<dd>probability of an element to be zeroed. Default: 0.5</dd>


<dt>training</dt>
<dd>apply dropout if is <code>TRUE</code>. Default: <code>TRUE</code></dd>


<dt>inplace</dt>
<dd>If set to <code>TRUE</code>, will do this operation in-place.
Default: <code>FALSE</code></dd>

</dl>

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nnf_alpha_dropout: Alpha_dropout

Description

Usage

Arguments