NNetCpp
Neural network implementation in C++
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Here is a list of all documented class members with links to the class documentation for each member:
- c -
calcDelta() :
Neuron
,
OutputNeuron
calcOutput() :
Neuron
check() :
IterationCondition
,
StopCondition
ConnectedNet() :
ConnectedNet
ConstantWeightGenerator() :
ConstantWeightGenerator
- d -
delta :
Neuron
- e -
Edge() :
Edge
- g -
getDelta() :
Neuron
getDifference() :
ConnectedNet
,
OutputNeuron
getInput() :
TrainingData
getOutput() :
ConnectedNet
,
InputNode
,
Neuron
,
Node
getTarget() :
TrainingData
getWeight() :
ConstantWeightGenerator
,
RandomWeightGenerator
,
WeightGenerator
getWeightedDelta() :
Edge
getWeightedOutput() :
Edge
- i -
InputNode() :
InputNode
IterationCondition() :
IterationCondition
- n -
NetTraining() :
NetTraining
Neuron() :
Neuron
- o -
OutputNeuron() :
OutputNeuron
- r -
RandomWeightGenerator() :
RandomWeightGenerator
run() :
NetTraining
- s -
setInput() :
Edge
setInputs() :
Neuron
setOutput() :
Edge
setOutputs() :
Neuron
setTarget() :
OutputNeuron
setValue() :
InputNode
sigmoidDelta() :
Neuron
- t -
train() :
ConnectedNet
TrainingData() :
TrainingData
- u -
updateWeight() :
Edge
- ~ -
~ConnectedNet() :
ConnectedNet
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