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

<p>A simple model builder to create a bunch of BatchNorm1d, Dropout and
Linear layers, with “'act_fn“' activations.
</p>

create_mlp(ni, nout, linear_sizes = c(500, 500, 500))

<table summary="R argblock">
<tr valign="top">
<td><code>ni</code></td>
<td>
<p>number of input channels</p>
</td>
</tr>
<tr valign="top">
<td><code>nout</code></td>
<td>
<p>output shape</p>
</td>
</tr>
<tr valign="top">
<td><code>linear_sizes</code></td>
<td>
<p>linear output sizes</p>
</td>
</tr>
</table>

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

create_mlp

Description

Usage

Arguments

Value

fastai

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`ni`	number of input channels
`nout`	output shape
`linear_sizes`	linear output sizes