dropoutProbs: dropoutProbs function

In deepNN: Deep Learning

dropoutProbs function

Description

A function to specify dropout for a neural network.

Usage

dropoutProbs(input = 1, hidden = 1)

Arguments

input	inclusion rate for input parameters
hidden	inclusion rate for hidden parameters

Value

returns these probabilities in an appropriate format for interaction with the network and train functions, see ?network and ?train

References

1. Ian Goodfellow, Yoshua Bengio, Aaron Courville, Francis Bach. Deep Learning. (2016)

2. Terrence J. Sejnowski. The Deep Learning Revolution (The MIT Press). (2018)

3. Neural Networks YouTube playlist by 3brown1blue: https://www.youtube.com/playlist?list=PLZHQObOWTQDNU6R1_67000Dx_ZCJB-3pi

4. http://neuralnetworksanddeeplearning.com/

See Also

network, train, backprop_evaluate, MLP_net, backpropagation_MLP, logistic, ReLU, smoothReLU, ident, softmax, Qloss, multinomial, NNgrad_test, weights2list, bias2list, biasInit, memInit, gradInit, addGrad, nnetpar, nbiaspar, addList, no_regularisation, L1_regularisation, L2_regularisation

deepNN documentation built on Aug. 25, 2023, 5:14 p.m.