stopping

Generic function for implementing stopping methods

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.

Benjamin Taylor

deepNN

Deep Learning

stopping function

<dl><dt>...</dt>
<dd>additional arguments</dd></dl>

Arguments

stopping function — stopping

<dl>

<dt>...</dt>
<dd>additional arguments</dd>

</dl>

stopping: stopping function

Description

Usage

Value

Arguments

See Also