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

Picks a random scaled crop of an image and resize it to 'size'

RandomResizedCrop(
  size,
  min_scale = 0.08,
  ratio = list(0.75, 1.33333333333333),
  resamples = list(2, 0),
  val_xtra = 0.14
)

<table summary="R argblock">
<tr valign="top">
<td><code>size</code></td>
<td>
size
</td>
</tr>
<tr valign="top">
<td><code>min_scale</code></td>
<td>
minimum scale
</td>
</tr>
<tr valign="top">
<td><code>ratio</code></td>
<td>
ratio
</td>
</tr>
<tr valign="top">
<td><code>resamples</code></td>
<td>
resamples
</td>
</tr>
<tr valign="top">
<td><code>val_xtra</code></td>
<td>
validation xtra
</td>
</tr>
</table>

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

RandomResizedCrop

Description

Usage

Arguments

Value

fastai

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`size`	size
`min_scale`	minimum scale
`ratio`	ratio
`resamples`	resamples
`val_xtra`	validation xtra