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>Build a convnet style learner from 'dls' and 'arch' using the 'timm' library
</p>

<table summary="R argblock">
<tr valign="top">
<td><code>dls</code></td>
<td>
<p>dataloader</p>
</td>
</tr>
<tr valign="top">
<td><code>arch</code></td>
<td>
<p>model architecture</p>
</td>
</tr>
<tr valign="top">
<td><code>...</code></td>
<td>
<p>additional arguments</p>
</td>
</tr>
</table>

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

timm_learner

Description

Usage

Arguments

Value

fastai

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`dls`	dataloader
`arch`	model architecture
`...`	additional arguments