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

'nn.BatchNorm1d', but first flattens leading dimensions

BatchNorm1dFlat(
  num_features,
  eps = 1e-05,
  momentum = 0.1,
  affine = TRUE,
  track_running_stats = TRUE
)

<table summary="R argblock">
<tr valign="top">
<td><code>num_features</code></td>
<td>
number of features
</td>
</tr>
<tr valign="top">
<td><code>eps</code></td>
<td>
epsilon
</td>
</tr>
<tr valign="top">
<td><code>momentum</code></td>
<td>
momentum
</td>
</tr>
<tr valign="top">
<td><code>affine</code></td>
<td>
affine
</td>
</tr>
<tr valign="top">
<td><code>track_running_stats</code></td>
<td>
track running statistics
</td>
</tr>
</table>

package-ubuntu-20.04-r-4.0.5#cran#fastai-2.0.7#docs#BatchNorm1dFlat

BatchNorm1dFlat

Description

Usage

Arguments

Value

fastai

We don't support your browser anymore

`num_features`	number of features
`eps`	epsilon
`momentum`	momentum
`affine`	affine
`track_running_stats`	track running statistics