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>Turns on dropout during inference, allowing you to call
Learner$get_preds multiple times to approximate your model
uncertainty using Monte Carlo Dropout. https://arxiv.org/pdf/1506.02142.pdf
</p>

<table summary="R argblock"><tr valign="top">
<td><code>...</code></td>
<td>
<p>arguments to pass</p>
</td>
</tr></table>

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

MCDropoutCallback

Description

Usage

Arguments

Value

fastai

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