View source: R/miscellaneous.R
nbiaspar | R Documentation |
A function to calculate the number of bias parameters in a neural network, see ?network
nbiaspar(net)
net |
an object of class network, see ?network |
an integer, the number of bias parameters in a neural network
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/
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
net <- network( dims = c(5,10,2),
activ=list(ReLU(),softmax()))
nbiaspar(net)
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