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

Normalize_from_stats(mean, std, dim = 1, ndim = 4, cuda = TRUE)

<table summary="R argblock">
<tr valign="top">
<td><code>mean</code></td>
<td>
mean
</td>
</tr>
<tr valign="top">
<td><code>std</code></td>
<td>
standard deviation
</td>
</tr>
<tr valign="top">
<td><code>dim</code></td>
<td>
dimension
</td>
</tr>
<tr valign="top">
<td><code>ndim</code></td>
<td>
number of dimensions
</td>
</tr>
<tr valign="top">
<td><code>cuda</code></td>
<td>
cuda or not
</td>
</tr>
</table>

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

Normalize_from_stats

Description

Usage

Arguments

Value

fastai

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`mean`	mean
`std`	standard deviation
`dim`	dimension
`ndim`	number of dimensions
`cuda`	cuda or not