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>(Tensor) the input tensor.</p>
</td>
</tr></table>

<h3>arcsinh(input, *, out=None) -&gt; Tensor </h3>

<p>Alias for <code><a href="torch_asinh.html">torch_asinh()</a></code>.
</p>

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

torch_arcsinh

Description

Usage

Arguments

arcsinh(input, *, out=None) -> Tensor

torch

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