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

convT_norm_relu(ch_in, ch_out, norm_layer, ks = 3, stride = 2, bias = TRUE)

<table summary="R argblock">
<tr valign="top">
<td><code>ch_in</code></td>
<td>
input
</td>
</tr>
<tr valign="top">
<td><code>ch_out</code></td>
<td>
output
</td>
</tr>
<tr valign="top">
<td><code>norm_layer</code></td>
<td>
normalziation layer
</td>
</tr>
<tr valign="top">
<td><code>ks</code></td>
<td>
kernel size
</td>
</tr>
<tr valign="top">
<td><code>stride</code></td>
<td>
stride size
</td>
</tr>
<tr valign="top">
<td><code>bias</code></td>
<td>
bias true or not
</td>
</tr>
</table>

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

convT_norm_relu

Description

Usage

Arguments

Value

fastai

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`ch_in`	input
`ch_out`	output
`norm_layer`	normalziation layer
`ks`	kernel size
`stride`	stride size
`bias`	bias true or not