biasInit

A function to inialise memory space for bias parameters. Now redundant.

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

biasInit function

<dl><dt>dims</dt>
<dd>the dimensions of the network as stored from a call to the function network, see ?network</dd></dl>

Arguments

biasInit function — biasInit

<dl>

<dt>dims</dt>
<dd>the dimensions of the network as stored from a call to the function network, see ?network</dd>

</dl>

biasInit: biasInit function

Description

Usage

Value

Arguments

References

See Also