deepNN: wQloss – R documentation

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wQloss

wQloss function

Description

A function to evaluate the weighted quadratic loss function and the derivative of this function to be used when training a neural network.

Usage

wQloss(w)

Arguments

`w`	a vector of weights, adding up to 1, whose length is equalt to the output length of the net

Value

a list object with elements that are functions, evaluating the loss and the derivative

References

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/

Examples

# Example in context:


netwts <- train(dat=train_set,
                truth=truth,
                net=net,
                eps=0.001,
                tol=0.95,
                loss=wQloss(c(10,5,6,9)), # here assuming output of length 4
                batchsize=100)

deepNN

Deep Learning

v1.0

GPL-3

Authors

Benjamin Taylor [aut, cre]

Initial release