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

<table summary="R argblock">
<tr valign="top">
<td><code>inp</code></td>
<td>
<p>The predictions of the model</p>
</td>
</tr>
<tr valign="top">
<td><code>targ</code></td>
<td>
<p>The corresponding labels</p>
</td>
</tr>
<tr valign="top">
<td><code>axis</code></td>
<td>
<p>Axis</p>
</td>
</tr>
</table>

## Not run: 

learn = cnn_learner(dls, resnet34(), metrics = error_rate)



## End(Not run)

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

error_rate

Description

Usage

Arguments

Value

Examples

fastai

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`inp`	The predictions of the model
`targ`	The corresponding labels
`axis`	Axis