deepNN-package | deepNN |
addGrad | addGrad function |
addList | addList function |
backpropagation_MLP | backpropagation_MLP function |
backprop_evaluate | backprop_evaluate function |
bias2list | bias2list function |
biasInit | biasInit function |
deepNN | deepNN |
download_mnist | download_mnist function |
dropoutProbs | dropoutProbs function |
gradInit | gradInit function |
hyptan | hyptan function |
ident | ident function |
L1_regularisation | L1_regularisation function |
L2_regularisation | L2_regularisation function |
logistic | logistic function |
memInit | memInit function |
MLP_net | MLP_net function |
multinomial | multinomial function |
nbiaspar | nbiaspar function |
network | network function |
nnetpar | nnetpar function |
NNgrad_test | NNgrad_test function |
NNpredict | NNpredict function |
NNpredict.regression | NNpredict.regression function |
no_regularisation | no_regularisation function |
Qloss | Qloss function |
ReLU | ReLU function |
smoothReLU | smoothReLU function |
softmax | softmax function |
stopping | stopping function |
stopping.default | stopping.default function |
stopping.maxit | stopping.maxit function |
stopping.revdir | stopping.revdir function |
train | train function |
updateStopping | updateStopping function |
updateStopping.classification | updateStopping.classification function |
updateStopping.regression | updateStopping.regression function |
weights2list | weights2list function |
wmultinomial | wmultinomial function |
wQloss | wQloss function |