The 'fastai' <https://docs.fast.ai/index.html> library
simplifies training fast and accurate neural networks
using modern best practices. It is based on research
in to deep learning best practices undertaken
at 'fast.ai', including 'out of the box' support
for vision, text, tabular, audio, time series, and
collaborative filtering models.

Interface to 'fastai'

package-ubuntu-20.04-r-4.0.5#cran#fastai-2.0.7

Apply a random dihedral transformation to a batch of images with a probability 'p'

DeterministicDihedral(
  size = NULL,
  mode = "bilinear",
  pad_mode = "reflection",
  align_corners = NULL
)

<table summary="R argblock">
<tr valign="top">
<td><code>size</code></td>
<td>
size
</td>
</tr>
<tr valign="top">
<td><code>mode</code></td>
<td>
mode
</td>
</tr>
<tr valign="top">
<td><code>pad_mode</code></td>
<td>
padding mode
</td>
</tr>
<tr valign="top">
<td><code>align_corners</code></td>
<td>
align corners
</td>
</tr>
</table>

package-ubuntu-20.04-r-4.0.5#cran#fastai-2.0.7#docs#DeterministicDihedral

DeterministicDihedral

Description

Usage

Arguments

Value

fastai

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`size`	size
`mode`	mode
`pad_mode`	padding mode
`align_corners`	align corners