L2_regularisation

A function to return the L2 regularisation strategy for a network object.

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

L2_regularisation function

<dl><dt>alpha</dt>
<dd>parameter to weight the relative contribution of the regulariser</dd></dl>

Arguments

L2_regularisation function — L2_regularisation

<dl>

<dt>alpha</dt>
<dd>parameter to weight the relative contribution of the regulariser</dd>

</dl>

L2_regularisation: L2_regularisation function

Description

Usage

Value

Arguments

References

See Also