| __init__(self, "int" _nNeurons, "int" _nInputs) | feedforward_closedloop_learning.Layer | |
| calcOutputs(self) | feedforward_closedloop_learning.Layer | |
| doLearning(self) | feedforward_closedloop_learning.Layer | |
| doNormaliseWeights(self) | feedforward_closedloop_learning.Layer | |
| getError(self, "int" i) | feedforward_closedloop_learning.Layer | |
| getNeuron(self, "int" index) | feedforward_closedloop_learning.Layer | |
| getNinputs(self) | feedforward_closedloop_learning.Layer | |
| getNneurons(self) | feedforward_closedloop_learning.Layer | |
| getOutput(self, "int" index) | feedforward_closedloop_learning.Layer | |
| getWeightDistanceFromInitialWeights(self) | feedforward_closedloop_learning.Layer | |
| initWeights(self, *args) | feedforward_closedloop_learning.Layer | |
| saveWeightMatrix(self, "char *" filename) | feedforward_closedloop_learning.Layer | |
| setActivationFunction(self, "Neuron::ActivationFunction" _activationFunction) | feedforward_closedloop_learning.Layer | |
| setBias(self, "double" _bias) | feedforward_closedloop_learning.Layer | |
| setConvolution(self, "int" width, "int" height) | feedforward_closedloop_learning.Layer | |
| setDebugInfo(self, "int" layerIndex) | feedforward_closedloop_learning.Layer | |
| setDecay(self, "double" _decay) | feedforward_closedloop_learning.Layer | |
| setError(self, *args) | feedforward_closedloop_learning.Layer | |
| setErrors(self, "double *" _errors) | feedforward_closedloop_learning.Layer | |
| setInput(self, "int" inputIndex, "double" input) | feedforward_closedloop_learning.Layer | |
| setInputs(self, "double *" _inputs) | feedforward_closedloop_learning.Layer | |
| setLearningRate(self, "double" _learningRate) | feedforward_closedloop_learning.Layer | |
| setMaxDetLayer(self, "int" _m) | feedforward_closedloop_learning.Layer | |
| setMomentum(self, "double" _momentum) | feedforward_closedloop_learning.Layer | |
| setNormaliseWeights(self, "Layer::WeightNormalisation" _normaliseWeights) | feedforward_closedloop_learning.Layer | |
| setStep(self, "long" step) | feedforward_closedloop_learning.Layer | |
| setUseThreads(self, "int" _useThreads) | feedforward_closedloop_learning.Layer | |
| thisown (defined in feedforward_closedloop_learning.Layer) | feedforward_closedloop_learning.Layer | static |
| WEIGHT_NORM_LAYER_EUCLEDIAN (defined in feedforward_closedloop_learning.Layer) | feedforward_closedloop_learning.Layer | static |
| WEIGHT_NORM_LAYER_INFINITY (defined in feedforward_closedloop_learning.Layer) | feedforward_closedloop_learning.Layer | static |
| WEIGHT_NORM_LAYER_MANHATTAN (defined in feedforward_closedloop_learning.Layer) | feedforward_closedloop_learning.Layer | static |
| WEIGHT_NORM_NEURON_EUCLEDIAN (defined in feedforward_closedloop_learning.Layer) | feedforward_closedloop_learning.Layer | static |
| WEIGHT_NORM_NEURON_INFINITY (defined in feedforward_closedloop_learning.Layer) | feedforward_closedloop_learning.Layer | static |
| WEIGHT_NORM_NEURON_MANHATTAN (defined in feedforward_closedloop_learning.Layer) | feedforward_closedloop_learning.Layer | static |
| WEIGHT_NORM_NONE (defined in feedforward_closedloop_learning.Layer) | feedforward_closedloop_learning.Layer | static |