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

SEResNeXtBlock(
  expansion,
  ni,
  nf,
  groups = 32,
  reduction = 16,
  stride = 1,
  base_width = 4
)

<table summary="R argblock">
<tr valign="top">
<td><code>expansion</code></td>
<td>
decoder
</td>
</tr>
<tr valign="top">
<td><code>ni</code></td>
<td>
number of linear inputs
</td>
</tr>
<tr valign="top">
<td><code>nf</code></td>
<td>
number of features
</td>
</tr>
<tr valign="top">
<td><code>groups</code></td>
<td>
groups number
</td>
</tr>
<tr valign="top">
<td><code>reduction</code></td>
<td>
reduction number
</td>
</tr>
<tr valign="top">
<td><code>stride</code></td>
<td>
stride number
</td>
</tr>
<tr valign="top">
<td><code>base_width</code></td>
<td>
int, base width
</td>
</tr>
</table>

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

SEResNeXtBlock

Description

Usage

Arguments

Value

fastai

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`expansion`	decoder
`ni`	number of linear inputs
`nf`	number of features
`groups`	groups number
`reduction`	reduction number
`stride`	stride number
`base_width`	int, base width