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

Show all images 'ims' as subplots with 'rows' using 'titles'

show_images(
  ims,
  nrows = 1,
  ncols = NULL,
  titles = NULL,
  figsize = NULL,
  imsize = 3,
  add_vert = 0
)

<table summary="R argblock">
<tr valign="top">
<td><code>ims</code></td>
<td>
images
</td>
</tr>
<tr valign="top">
<td><code>nrows</code></td>
<td>
number of rows
</td>
</tr>
<tr valign="top">
<td><code>ncols</code></td>
<td>
number of columns
</td>
</tr>
<tr valign="top">
<td><code>titles</code></td>
<td>
titles
</td>
</tr>
<tr valign="top">
<td><code>figsize</code></td>
<td>
figure size
</td>
</tr>
<tr valign="top">
<td><code>imsize</code></td>
<td>
image size
</td>
</tr>
<tr valign="top">
<td><code>add_vert</code></td>
<td>
add vertical
</td>
</tr>
</table>

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

show_images

Description

Usage

Arguments

Value

fastai

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`ims`	images
`nrows`	number of rows
`ncols`	number of columns
`titles`	titles
`figsize`	figure size
`imsize`	image size
`add_vert`	add vertical