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>Transform image to float tensor, optionally dividing by 255 (e.g. for images).
</p>

IntToFloatTensor(div = 255, div_mask = 1)

<table summary="R argblock">
<tr valign="top">
<td><code>div</code></td>
<td>
<p>divide value</p>
</td>
</tr>
<tr valign="top">
<td><code>div_mask</code></td>
<td>
<p>divide mask</p>
</td>
</tr>
</table>

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

IntToFloatTensor

Description

Usage

Arguments

Value

fastai

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`div`	divide value
`div_mask`	divide mask