NeuralNetwork Member List

This is the complete list of members for NeuralNetwork, including all inherited members.

_allocateLayer(Layer &layer, unsigned int nInputs, unsigned int nOutputs, unsigned int &k, bool isLinear=false)	NeuralNetwork
_backpropagateLayer(Layer &upper, Layer &lower)	NeuralNetwork
_deallocate()	NeuralNetwork
_deallocateLayer(Layer &layer)	NeuralNetwork
_learningRateDiv	NeuralNetwork
_nParams	NeuralNetwork
_propagateLayer(Layer &lower, Layer &upper)	NeuralNetwork
backpropagate(real *outputError)	NeuralNetwork	virtual
clearDelta()	GradientFunction	inlinevirtual
decreaseConstant	NeuralNetwork
dWeights	GradientFunction
Function()	Function	inline
getCurrentLearningRate() const	NeuralNetwork	virtual
getOutput(int i) const	NeuralNetwork	virtual
getOutputs(real *outputs) const	NeuralNetwork	virtual
GradientFunction()	GradientFunction	inline
hiddenLayer	NeuralNetwork
init()	NeuralNetwork	virtual
inputLayer	NeuralNetwork
learningRate	NeuralNetwork
load(XFile *file)	NeuralNetwork	virtual
NeuralNetwork(unsigned int nInputs, unsigned int nHiddens, unsigned int nOutputs, float learningRate=0.01, float decreaseConstant=0, float weightDecay=0, bool linearOutput=false)	NeuralNetwork
nHidden() const	NeuralNetwork	inlinevirtual
nInputs() const	NeuralNetwork	inlinevirtual
nOutputs() const	NeuralNetwork	inlinevirtual
nParams() const	NeuralNetwork	inlinevirtual
outputLayer	NeuralNetwork
propagate()	NeuralNetwork	virtual
save(XFile *file)	NeuralNetwork	virtual
setInput(int i, real x)	NeuralNetwork	virtual
setInputs(const real *inputs)	NeuralNetwork	virtual
update()	NeuralNetwork	virtual
weightDecay	NeuralNetwork
weights	GradientFunction
~Function()	Function	inlinevirtual
~GradientFunction()	GradientFunction	inlinevirtual
~NeuralNetwork()	NeuralNetwork	virtual