Implementation of some Deep Learning methods. Includes multilayer perceptron, different activation functions, regularisation strategies, stochastic gradient descent and dropout. Thanks go to the following references for helping to inspire and develop the package: Ian Goodfellow, Yoshua Bengio, Aaron Courville, Francis Bach (2016, ISBN:978-0262035613) Deep Learning. Terrence J. Sejnowski (2018, ISBN:978-0262038034) The Deep Learning Revolution. Grant Sanderson (3brown1blue) <https://www.youtube.com/playlist?list=PLZHQObOWTQDNU6R1_67000Dx_ZCJB-3pi> Neural Networks YouTube playlist. Michael A. Nielsen <http://neuralnetworksanddeeplearning.com/> Neural Networks and Deep Learning.

Deep Learning

package-ubuntu-20.04-r-4.0.5#cran#deepNN-1.0

<p>Generic function for implementing stopping methods
</p>

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

<p><a href="stopping.default.html">stopping.default</a>, <a href="stopping.maxit.html">stopping.maxit</a>
</p>

package-ubuntu-20.04-r-4.0.5#cran#deepNN-1.0#docs#stopping

stopping

Description

Usage

Arguments

Value

See Also

deepNN

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