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.

Tensors and Neural Networks with 'GPU' Acceleration

package-ubuntu-20.04-r-4.0.5#cran#torch-0.3.0

<table summary="R argblock">
<tr valign="top">
<td><code>self</code></td>
<td>
<p>the input tensor</p>
</td>
</tr>
<tr valign="top">
<td><code>alpha</code></td>
<td>
<p>the alpha value for the CELU formulation. Default: 1.0</p>
</td>
</tr>
</table>

<h3>celu(input, alpha=1.) -&gt; Tensor </h3>

package-ubuntu-20.04-r-4.0.5#cran#torch-0.3.0#docs#torch_celu

torch_celu

Description

Usage

Arguments

celu(input, alpha=1.) -> Tensor

torch

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`self`	the input tensor
`alpha`	the alpha value for the CELU formulation. Default: 1.0