Deep Learning

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.


Reference manual

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install.packages("deepNN")

1.2 by Benjamin Taylor, 3 years ago


Browse source code at https://github.com/cran/deepNN


Authors: Benjamin Taylor [aut, cre]


Documentation:   PDF Manual  


GPL-3 license


Imports stats, graphics, utils, Matrix, methods


See at CRAN