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

<p>Randomly rearrange channels of the input RGB image.
</p>

icevision_ChannelShuffle(always_apply = FALSE, p = 0.5)

<table summary="R argblock">
<tr valign="top">
<td><code>always_apply</code></td>
<td>
<p>always_apply</p>
</td>
</tr>
<tr valign="top">
<td><code>p</code></td>
<td>
<p>p</p>
</td>
</tr>
</table>

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

icevision_ChannelShuffle

Description

Usage

Arguments

Value

Targets

Image types

fastai

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`always_apply`	always_apply
`p`	p