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

A bunch of convolutions stacked together.

create_fcn(ni, nout, ks = 9, conv_sizes = c(128, 256, 128), stride = 1)

<table summary="R argblock">
<tr valign="top">
<td><code>ni</code></td>
<td>
number of input channels
</td>
</tr>
<tr valign="top">
<td><code>nout</code></td>
<td>
output shape
</td>
</tr>
<tr valign="top">
<td><code>ks</code></td>
<td>
kernel size
</td>
</tr>
<tr valign="top">
<td><code>conv_sizes</code></td>
<td>
convolution sizes
</td>
</tr>
<tr valign="top">
<td><code>stride</code></td>
<td>
stride
</td>
</tr>
</table>

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

create_fcn

Description

Usage

Arguments

Value

fastai

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`ni`	number of input channels
`nout`	output shape
`ks`	kernel size
`conv_sizes`	convolution sizes
`stride`	stride