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

discriminator(
  ch_in,
  n_ftrs = 64,
  n_layers = 3,
  norm_layer = NULL,
  sigmoid = FALSE
)

<table summary="R argblock">
<tr valign="top">
<td><code>ch_in</code></td>
<td>
input
</td>
</tr>
<tr valign="top">
<td><code>n_ftrs</code></td>
<td>
number of filters
</td>
</tr>
<tr valign="top">
<td><code>n_layers</code></td>
<td>
number of layers
</td>
</tr>
<tr valign="top">
<td><code>norm_layer</code></td>
<td>
normalization layer
</td>
</tr>
<tr valign="top">
<td><code>sigmoid</code></td>
<td>
apply sigmoid function or not
</td>
</tr>
</table>

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

discriminator

Description

Usage

Arguments

fastai

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`ch_in`	input
`n_ftrs`	number of filters
`n_layers`	number of layers
`norm_layer`	normalization layer
`sigmoid`	apply sigmoid function or not