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>Update the progress bar with input and prediction images
</p>

ShowCycleGANImgsCallback(imgA = FALSE, imgB = TRUE, show_img_interval = 10)

<table summary="R argblock">
<tr valign="top">
<td><code>imgA</code></td>
<td>
<p>img from A domain</p>
</td>
</tr>
<tr valign="top">
<td><code>imgB</code></td>
<td>
<p>img from B domain</p>
</td>
</tr>
<tr valign="top">
<td><code>show_img_interval</code></td>
<td>
<p>show image interval</p>
</td>
</tr>
</table>

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

ShowCycleGANImgsCallback

Description

Usage

Arguments

Value

fastai

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`imgA`	img from A domain
`imgB`	img from B domain
`show_img_interval`	show image interval