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>download MNIST_VAR_SIZE_TINY dataset
</p>

URLs_MNIST_VAR_SIZE_TINY(filename = "MNIST_VAR_SIZE_TINY", untar = TRUE)

<table summary="R argblock">
<tr valign="top">
<td><code>filename</code></td>
<td>
<p>the name of the file</p>
</td>
</tr>
<tr valign="top">
<td><code>untar</code></td>
<td>
<p>logical, whether to untar the '.tgz' file</p>
</td>
</tr>
</table>

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

URLs_MNIST_VAR_SIZE_TINY

Description

Usage

Arguments

Value

fastai

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`filename`	the name of the file
`untar`	logical, whether to untar the '.tgz' file