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 |