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

Module grouping 'BatchNorm1d', 'Dropout' and 'Linear' layers

LinBnDrop(n_in, n_out, bn = TRUE, p = 0, act = NULL, lin_first = FALSE)

<table summary="R argblock">
<tr valign="top">
<td><code>n_in</code></td>
<td>
input shape
</td>
</tr>
<tr valign="top">
<td><code>n_out</code></td>
<td>
output shape
</td>
</tr>
<tr valign="top">
<td><code>bn</code></td>
<td>
bn
</td>
</tr>
<tr valign="top">
<td><code>p</code></td>
<td>
probability
</td>
</tr>
<tr valign="top">
<td><code>act</code></td>
<td>
activation
</td>
</tr>
<tr valign="top">
<td><code>lin_first</code></td>
<td>
linear first
</td>
</tr>
</table>

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

LinBnDrop

Description

Usage

Arguments

Value

fastai

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`n_in`	input shape
`n_out`	output shape
`bn`	bn
`p`	probability
`act`	activation
`lin_first`	linear first