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

XResNet(block, expansion, layers, c_in = 3, c_out = 1000, ...)

<table summary="R argblock">
<tr valign="top">
<td><code>block</code></td>
<td>
the blocks to pass to XResNet
</td>
</tr>
<tr valign="top">
<td><code>expansion</code></td>
<td>
argument for inputs and filters
</td>
</tr>
<tr valign="top">
<td><code>layers</code></td>
<td>
the layers to pass to XResNet
</td>
</tr>
<tr valign="top">
<td><code>c_in</code></td>
<td>
number of inputs
</td>
</tr>
<tr valign="top">
<td><code>c_out</code></td>
<td>
number of outputs
</td>
</tr>
<tr valign="top">
<td><code>...</code></td>
<td>
additional arguments
</td>
</tr>
</table>

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

XResNet

Description

Usage

Arguments

fastai

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`block`	the blocks to pass to XResNet
`expansion`	argument for inputs and filters
`layers`	the layers to pass to XResNet
`c_in`	number of inputs
`c_out`	number of outputs
`...`	additional arguments