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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 |