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

gan_critic(n_channels = 3, nf = 128, n_blocks = 3, p = 0.15)

<table summary="R argblock">
<tr valign="top">
<td><code>n_channels</code></td>
<td>
<p>number of channels</p>
</td>
</tr>
<tr valign="top">
<td><code>nf</code></td>
<td>
<p>number of features</p>
</td>
</tr>
<tr valign="top">
<td><code>n_blocks</code></td>
<td>
<p>number of blocks</p>
</td>
</tr>
<tr valign="top">
<td><code>p</code></td>
<td>
<p>probability</p>
</td>
</tr>
</table>

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

gan_critic

Description

Usage

Arguments

Value

fastai

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`n_channels`	number of channels
`nf`	number of features
`n_blocks`	number of blocks
`p`	probability