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

Adds functionality to view dicom images where each file may have more than 1 frame

<table summary="R argblock">
<tr valign="top">
<td><code>img</code></td>
<td>
image object
</td>
</tr>
<tr valign="top">
<td><code>frames</code></td>
<td>
number of frames
</td>
</tr>
<tr valign="top">
<td><code>scale</code></td>
<td>
scale
</td>
</tr>
<tr valign="top">
<td><code>...</code></td>
<td>
additional arguments
</td>
</tr>
</table>

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

show

Description

Usage

Arguments

Value

fastai

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`img`	image object
`frames`	number of frames
`scale`	scale
`...`	additional arguments