Feedforward Closedloop Learning
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This is the complete list of members for Layer, including all inherited members.
calcOutputs() | Layer | |
doLearning() | Layer | |
doNormaliseWeights() | Layer | |
getError(int i) | Layer | |
getNeuron(int index) | Layer | inline |
getNinputs() | Layer | inline |
getNneurons() | Layer | inline |
getOutput(int index) | Layer | inline |
getWeightDistanceFromInitialWeights() | Layer | |
initWeights(double _max=1, int initBiasWeight=1, Neuron::WeightInitMethod weightInitMethod=Neuron::MAX_OUTPUT_RANDOM) | Layer | |
Layer(int _nNeurons, int _nInputs) | Layer | |
saveWeightMatrix(char *filename) | Layer | |
setActivationFunction(Neuron::ActivationFunction _activationFunction) | Layer | |
setBias(double _bias) | Layer | |
setConvolution(int width, int height) | Layer | |
setDebugInfo(int layerIndex) | Layer | |
setDecay(double _decay) | Layer | |
setError(double _error) | Layer | |
setError(int i, double _error) | Layer | |
setErrors(double *_errors) | Layer | |
setInput(int inputIndex, double input) | Layer | |
setInputs(double *_inputs) | Layer | |
setLearningRate(double _learningRate) | Layer | |
setMaxDetLayer(int _m) | Layer | inline |
setMomentum(double _momentum) | Layer | |
setNormaliseWeights(WeightNormalisation _normaliseWeights) | Layer | |
setStep(long int step) | Layer | |
setUseThreads(int _useThreads) | Layer | inline |
WEIGHT_NORM_LAYER_EUCLEDIAN enum value (defined in Layer) | Layer | |
WEIGHT_NORM_LAYER_INFINITY enum value (defined in Layer) | Layer | |
WEIGHT_NORM_LAYER_MANHATTAN enum value (defined in Layer) | Layer | |
WEIGHT_NORM_NEURON_EUCLEDIAN enum value (defined in Layer) | Layer | |
WEIGHT_NORM_NEURON_INFINITY enum value (defined in Layer) | Layer | |
WEIGHT_NORM_NEURON_MANHATTAN enum value (defined in Layer) | Layer | |
WEIGHT_NORM_NONE enum value (defined in Layer) | Layer | |
WeightNormalisation enum name | Layer | |
~Layer() | Layer |