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| darch-package | Deep architectures in R |
| addExecOutput | Adds an execution output for a DArch object |
| addExecOutput-method | Adds an execution output for a DArch object |
| addLayer | Adds a layer to the DArch object |
| addLayer-method | Adds a layer to the DArch object |
| addLayerField | Adds a field to a layer |
| addLayerField-method | Adds a field to a layer |
| backpropagation | Backpropagation learning function |
| binSigmoidUnit | Binary sigmoid unit function. |
| crossEntropyError | Cross entropy error function |
| DArch | Class for deep architectures |
| darch | Deep architectures in R |
| DArch-class | Class for deep architectures |
| fineTuneDArch | Fine tuning function for the deep architecture. |
| fineTuneDArch-method | Fine tuning function for the deep architecture. |
| generateRBMs | Generates the rbm's for the pre-training. |
| generateRBMs-method | Generates the rbm's for the pre-training. |
| generateWeights | Generates a weight matrix. |
| getBatchSize | Returns the batch size of the 'Net'. |
| getBatchSize-method | Returns the batch size of the 'Net'. |
| getCancel | Returns the cancel value. |
| getCancel-method | Returns the cancel value. |
| getCancelMessage | Returns the cancel message. |
| getCancelMessage-method | Returns the cancel message. |
| getErrorFunction | Returns the error function of the 'Net'. |
| getErrorFunction-method | Returns the error function of the 'Net'. |
| getExecOutput | Returns the execution output of the layer from the 'DArch' object |
| getExecOutput-method | Returns the execution output of the layer from the 'DArch' object |
| getExecOutputs | Returns the execution output list of the 'DArch' object |
| getExecOutputs-method | Returns the execution output list of the 'DArch' object |
| getExecuteFunction | Returns the function for the execution of the 'DArch' network. |
| getExecuteFunction-method | Returns the function for the execution of the 'DArch' network. |
| getFF | Returns if the weights are saved as ff objects |
| getFF-method | Returns if the weights are saved as ff objects |
| getFinalMomentum | Returns the final momentum of the 'Net'. |
| getFinalMomentum-method | Returns the final momentum of the 'Net'. |
| getFineTuneFunction | Returns the fine tune function for the 'DArch' object. |
| getFineTuneFunction-method | Returns the fine tune function for the 'DArch' object. |
| getGenWeightFunction | Returns the function for generating weight matrices. |
| getGenWeightFunction-method | Returns the function for generating weight matrices. |
| getHiddenBiases | Returns the biases of the hidden units. |
| getHiddenBiases-method | Returns the biases of the hidden units. |
| getHiddenBiasesInc | Returns the update value for the biases of the hidden units. |
| getHiddenBiasesInc-method | Returns the update value for the biases of the hidden units. |
| getHiddenUnitStates | Returns a list with the states of the hidden units. |
| getHiddenUnitStates-method | Returns a list with the states of the hidden units. |
| getLayer | Returns a layer from the 'DArch' object. |
| getLayer-method | Returns a layer from the 'DArch' object. |
| getLayerField | Returns the field of a layer from the 'DArch' object. |
| getLayerField-method | Returns the field of a layer from the 'DArch' object. |
| getLayerFunction | Returns the neuron function of a layer from the 'DArch' object. |
| getLayerFunction-method | Returns the neuron function of a layer from the 'DArch' object. |
| getLayers | Returns the a list of layers from the 'DArch' object. |
| getLayers-method | Returns the a list of layers from the 'DArch' object. |
| getLayerWeights | Returns the weights of a layer from the 'DArch' object. |
| getLayerWeights-method | Returns the weights of a layer from the 'DArch' object. |
| getLearnRateBiases | Returns the learning rate for the bias weigths of the 'DArch' object. |
| getLearnRateBiases-method | Returns the learning rate for the bias weigths of the 'DArch' object. |
| getLearnRateBiasHidden | Returns the learning rate for the hidden biases. |
| getLearnRateBiasHidden-method | Returns the learning rate for the hidden biases. |
| getLearnRateBiasVisible | Returns the learning rate for the visible biases. |
| getLearnRateBiasVisible-method | Returns the learning rate for the visible biases. |
| getLearnRateWeights | Returns the learn rate of the weights. |
| getLearnRateWeights-method | Returns the learn rate of the weights. |
| getMomentum | Returns the momentum of the 'Net'. |
| getMomentum-method | Returns the momentum of the 'Net'. |
| getMomentumSwitch | Returns the momentum switch of the 'Net'. |
| getMomentumSwitch-method | Returns the momentum switch of the 'Net'. |
| getNumHidden | Returns the number of hidden units of the 'RBM' |
| getNumHidden-method | Returns the number of hidden units of the 'RBM' |
| getNumVisible | Returns the number of visible units of the 'RBM' |
| getNumVisible-method | Returns the number of visible units of the 'RBM' |
| getOutput | Returns the output of the 'RBM' |
| getOutput-method | Returns the output of the 'RBM' |
| getPosPhaseData | Returns the data for the positive phaes. |
| getPosPhaseData-method | Returns the data for the positive phaes. |
| getRBMList | Returns a list of 'RBM's of the 'DArch' object. |
| getRBMList-method | Returns a list of 'RBM's of the 'DArch' object. |
| getStats | Returns the list of statistics for the network |
| getStats-method | Returns the list of statistics for the network |
| getVisibleBiases | Returns the biases of the visible units. |
| getVisibleBiases-method | Returns the biases of the visible units. |
| getVisibleBiasesInc | Returns the update value for the biases of the visible units. |
| getVisibleBiasesInc-method | Returns the update value for the biases of the visible units. |
| getVisibleUnitStates | Returns a list with the states of the visible units. |
| getVisibleUnitStates-method | Returns a list with the states of the visible units. |
| getWeightCost | Returns the weigth cost for the training |
| getWeightCost-method | Returns the weigth cost for the training |
| getWeightInc | Returns the update value for the weights. |
| getWeightInc-method | Returns the update value for the weights. |
| getWeights | Returns the weigths of the 'RBM'. |
| getWeights-method | Returns the weigths of the 'RBM'. |
| linearUnit | Linear unit function. |
| linearUnitDerivative | Linear unit function with unit derivatives. |
| linearUnitFunc | Calculates the linear neuron output no transfer function |
| loadDArch | Loads a DArch network |
| loadRBM | Loads a RBM network |
| loadRBMFFWeights | Loads weigths and biases for a RBM network from a ffData file. |
| makeStartEndPoints | Makes start- and end-points for the batches. |
| minimize | Minimize a differentiable multivariate function. |
| minimizeAutoencoder | Conjugate gradient for a autoencoder network |
| minimizeClassifier | Conjugate gradient for a classification network |
| mseError | Mean quared error function |
| Net | Abtract class for neural networks. |
| Net-class | Abtract class for neural networks. |
| newDArch | Constructor function for 'DArch' objects. |
| newRBM | Constructor function for RBM object. |
| preTrainDArch | Pre trains a 'DArch' network |
| preTrainDArch-method | Pre trains a 'DArch' network |
| quadraticError | Quadratic error function |
| RBM | Class for Restricted-Bolzmann-Machine |
| RBM-class | Class for Restricted-Bolzmann-Machine |
| rbmUpdate | Function for updating the weights and biases of an 'RBM' |
| readMNIST | Function for generating ff files of the MNIST Database |
| removeLayerField | Removes a layer from the 'DArch' object |
| removeLayerField-method | Removes a layer from the 'DArch' object |
| resetDArch | Resets the weights and biases of the 'DArch' object |
| resetDArch-method | Resets the weights and biases of the 'DArch' object |
| resetExecOutput | Resets the output list of the 'DArch' object |
| resetExecOutput-method | Resets the output list of the 'DArch' object |
| resetRBM | Resets the weights and biases of the 'RBM' object |
| resetRBM-method | Resets the weights and biases of the 'RBM' object |
| rpropagation | Resilient-Backpropgation training for deep architectures. |
| runDArch | Execute the darch |
| saveDArch | Saves a DArch network |
| saveDArch-method | Saves a DArch network |
| saveRBM | Saves a RBM network |
| saveRBM-method | Saves a RBM network |
| saveRBMFFWeights | Saves weights and biases of a RBM network into a ffData file. |
| saveRBMFFWeights-method | Saves weights and biases of a RBM network into a ffData file. |
| setBatchSize | Sets the batch size of the 'Net'. |
| setBatchSize<- | Sets the batch size of the 'Net'. |
| setBatchSize<--method | Sets the batch size of the 'Net'. |
| setCancel | Set whether the learning shall be canceled. |
| setCancel<- | Set whether the learning shall be canceled. |
| setCancel<--method | Set whether the learning shall be canceled. |
| setCancelMessage | Sets the cancel message. |
| setCancelMessage<- | Sets the cancel message. |
| setCancelMessage<--method | Sets the cancel message. |
| setErrorFunction | Sets the error function of the 'Net'. |
| setErrorFunction<- | Sets the error function of the 'Net'. |
| setErrorFunction<--method | Sets the error function of the 'Net'. |
| setExecuteFunction | Sets the execution function for the network |
| setExecuteFunction<- | Sets the execution function for the network |
| setExecuteFunction<--method | Sets the execution function for the network |
| setFF | Sets if the weights are saved as ff objects |
| setFF<- | Sets if the weights are saved as ff objects |
| setFF<--method | Sets if the weights are saved as ff objects |
| setFinalMomentum | Sets the final momentum of the 'Net'. |
| setFinalMomentum<- | Sets the final momentum of the 'Net'. |
| setFinalMomentum<--method | Sets the final momentum of the 'Net'. |
| setFineTuneFunction | Sets the fine tuning function for the network |
| setFineTuneFunction<- | Sets the fine tuning function for the network |
| setFineTuneFunction<--method | Sets the fine tuning function for the network |
| setGenWeightFunction | Sets the function for generating weight matrices. |
| setGenWeightFunction<- | Sets the function for generating weight matrices. |
| setGenWeightFunction<--method | Sets the function for generating weight matrices. |
| setHiddenBiases | Sets the biases of the hidden units for the 'RBM' object |
| setHiddenBiases<- | Sets the biases of the hidden units for the 'RBM' object |
| setHiddenBiases<--method | Sets the biases of the hidden units for the 'RBM' object |
| setHiddenBiasesInc | Sets the update value for the biases of the hidden units |
| setHiddenBiasesInc<- | Sets the update value for the biases of the hidden units |
| setHiddenBiasesInc<--method | Sets the update value for the biases of the hidden units |
| setHiddenUnitFunction | Sets the unit function of the hidden units |
| setHiddenUnitFunction<- | Sets the unit function of the hidden units |
| setHiddenUnitFunction<--method | Sets the unit function of the hidden units |
| setHiddenUnitStates | Sets the states of the hidden units |
| setHiddenUnitStates<- | Sets the states of the hidden units |
| setHiddenUnitStates<--method | Sets the states of the hidden units |
| setLayer | Sets a layer with the given index for the network |
| setLayer<- | Sets a layer with the given index for the network |
| setLayer<--method | Sets a layer with the given index for the network |
| setLayerField | Sets a field in a layer. |
| setLayerField<- | Sets a field in a layer. |
| setLayerField<--method | Sets a field in a layer. |
| setLayerFunction | Sets the function for a layer with the given index |
| setLayerFunction<- | Sets the function for a layer with the given index |
| setLayerFunction<--method | Sets the function for a layer with the given index |
| setLayers | Sets the layers for the network |
| setLayers<- | Sets the layers for the network |
| setLayers<--method | Sets the layers for the network |
| setLayerWeights | Sets the weights of a layer with the given index |
| setLayerWeights<- | Sets the weights of a layer with the given index |
| setLayerWeights<--method | Sets the weights of a layer with the given index |
| setLearnRateBiases | Sets the learning rate for the biases |
| setLearnRateBiases<- | Sets the learning rate for the biases |
| setLearnRateBiases<--method | Sets the learning rate for the biases |
| setLearnRateBiasHidden | Sets the learnig rates of the biases for the hidden units |
| setLearnRateBiasHidden<- | Sets the learnig rates of the biases for the hidden units |
| setLearnRateBiasHidden<--method | Sets the learnig rates of the biases for the hidden units |
| setLearnRateBiasVisible | Sets the learnig rates of the biases for the visible units |
| setLearnRateBiasVisible<- | Sets the learnig rates of the biases for the visible units |
| setLearnRateBiasVisible<--method | Sets the learnig rates of the biases for the visible units |
| setLearnRateWeights | Sets the learning rate for the weights. |
| setLearnRateWeights<- | Sets the learning rate for the weights. |
| setLearnRateWeights<--method | Sets the learning rate for the weights. |
| setLogLevel | Sets the log level for the 'Net'. |
| setLogLevel<- | Sets the log level for the 'Net'. |
| setLogLevel<--method | Sets the log level for the 'Net'. |
| setMomentum | Sets the momentum of the 'Net'. |
| setMomentum<- | Sets the momentum of the 'Net'. |
| setMomentum<--method | Sets the momentum of the 'Net'. |
| setMomentumSwitch | Sets the momentum switch of the 'Net'. |
| setMomentumSwitch<- | Sets the momentum switch of the 'Net'. |
| setMomentumSwitch<--method | Sets the momentum switch of the 'Net'. |
| setNumHidden | Sets the number of hidden units |
| setNumHidden<- | Sets the number of hidden units |
| setNumHidden<--method | Sets the number of hidden units |
| setNumVisible | Sets the number of visible units |
| setNumVisible<- | Sets the number of visible units |
| setNumVisible<--method | Sets the number of visible units |
| setOutput | Sets the output of the 'RBM' object |
| setOutput<- | Sets the output of the 'RBM' object |
| setOutput<--method | Sets the output of the 'RBM' object |
| setPosPhaseData | Sets the positive phase data for the training |
| setPosPhaseData<- | Sets the positive phase data for the training |
| setPosPhaseData<--method | Sets the positive phase data for the training |
| setRBMList | Sets the list of RBMs |
| setRBMList<- | Sets the list of RBMs |
| setRBMList<--method | Sets the list of RBMs |
| setStats | Adds a list of statistics to the network |
| setStats<- | Adds a list of statistics to the network |
| setStats<--method | Adds a list of statistics to the network |
| setUpdateFunction | Sets the update function of the 'RBM' object |
| setUpdateFunction<- | Sets the update function of the 'RBM' object |
| setUpdateFunction<--method | Sets the update function of the 'RBM' object |
| setVisibleBiases | Sets the biases of the visible units for the 'RBM' object |
| setVisibleBiases<- | Sets the biases of the visible units for the 'RBM' object |
| setVisibleBiases<--method | Sets the biases of the visible units for the 'RBM' object |
| setVisibleBiasesInc | Sets the update value for the biases of the visible units |
| setVisibleBiasesInc<- | Sets the update value for the biases of the visible units |
| setVisibleBiasesInc<--method | Sets the update value for the biases of the visible units |
| setVisibleUnitFunction | Sets the unit function of the visible units |
| setVisibleUnitFunction<- | Sets the unit function of the visible units |
| setVisibleUnitFunction<--method | Sets the unit function of the visible units |
| setVisibleUnitStates | Sets the states of the visible units |
| setVisibleUnitStates<- | Sets the states of the visible units |
| setVisibleUnitStates<--method | Sets the states of the visible units |
| setWeightCost | Sets the weight costs for the training |
| setWeightCost<- | Sets the weight costs for the training |
| setWeightCost<--method | Sets the weight costs for the training |
| setWeightInc | Sets the update values for the weights |
| setWeightInc<- | Sets the update values for the weights |
| setWeightInc<--method | Sets the update values for the weights |
| setWeights | Sets the weights of the 'RBM' object |
| setWeights<- | Sets the weights of the 'RBM' object |
| setWeights<--method | Sets the weights of the 'RBM' object |
| sigmoidUnit | Sigmoid unit function. |
| sigmoidUnitDerivative | Sigmoid unit function with unit derivatives. |
| sigmUnitFunc | Calculates the neuron output with the sigmoid function |
| sigmUnitFuncSwitch | Calculates the neuron output with the sigmoid function |
| softmaxUnit | Softmax unit function. |
| softmaxUnitDerivative | Softmax unit function with unit derivatives. |
| trainRBM | Trains a 'RBM' with contrastive divergence |
| trainRBM-method | Trains a 'RBM' with contrastive divergence |