| 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 |