| 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 |