deepNN: hyptan – R documentation

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hyptan

hyptan function

A function to evaluate the hyperbolic tanget activation function, the derivative and cost derivative to be used in defining a neural network.

hyptan()

a list of functions used to compute the activation function, the derivative and cost derivative.

Ian Goodfellow, Yoshua Bengio, Aaron Courville, Francis Bach. Deep Learning. (2016)
Terrence J. Sejnowski. The Deep Learning Revolution (The MIT Press). (2018)
Neural Networks YouTube playlist by 3brown1blue: https://www.youtube.com/playlist?list=PLZHQObOWTQDNU6R1_67000Dx_ZCJB-3pi
http://neuralnetworksanddeeplearning.com/

# Example in context

net <- network( dims = c(100,50,20,2),
                activ=list(hyptan(),ReLU(),softmax()))

Deep Learning

v1.0

GPL-3

Authors

Benjamin Taylor [aut, cre]

Initial release