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

Keeps track of the avg grads of 'p' in 'state' with 'mom'.

average_grad(p, mom, dampening = FALSE, grad_avg = NULL, ...)

<table summary="R argblock">
<tr valign="top">
<td><code>p</code></td>
<td>
p
</td>
</tr>
<tr valign="top">
<td><code>mom</code></td>
<td>
momentum
</td>
</tr>
<tr valign="top">
<td><code>dampening</code></td>
<td>
dampening
</td>
</tr>
<tr valign="top">
<td><code>grad_avg</code></td>
<td>
grad average
</td>
</tr>
<tr valign="top">
<td><code>...</code></td>
<td>
additional args to pass
</td>
</tr>
</table>

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

`p`	p
`mom`	momentum
`dampening`	dampening
`grad_avg`	grad average
`...`	additional args to pass

average_grad

Description

Usage

Arguments

Value

fastai

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