weights2list {deepNN}R Documentation

weights2list function

Description

A function to convert a vector of weights into a ragged array (coded here a list of vectors)

Usage

weights2list(weights, dims)

Arguments

weights

a vector of weights

dims

the dimensions of the network as stored from a call to the function network, see ?network

Value

a list object with appropriate structures for compatibility with the functions network, train, MLP_net and backpropagation_MLP

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


[Package deepNN version 1.2 Index]