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>SqueezeNet model architecture from the '"SqueezeNet: AlexNet-level
</p>

squeezenet1_0(pretrained = FALSE, progress)

<table summary="R argblock">
<tr valign="top">
<td><code>pretrained</code></td>
<td>
<p>pretrained or not</p>
</td>
</tr>
<tr valign="top">
<td><code>progress</code></td>
<td>
<p>to see progress bar or not</p>
</td>
</tr>
</table>

<p>accuracy with 50x fewer parameters and &lt;0.5MB model size"
&lt;https://arxiv.org/abs/1602.07360&gt;'_ paper.
</p>

package-ubuntu-20.04-r-4.0.5#cran#fastai-2.0.7#docs#squeezenet1_0

squeezenet1_0

Description

Usage

Arguments

Details

Value

fastai

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`pretrained`	pretrained or not
`progress`	to see progress bar or not