feedforward_closedloop_learning.FeedforwardClosedloopLearningWithFilterbank Class Reference
Inheritance diagram for feedforward_closedloop_learning.FeedforwardClosedloopLearningWithFilterbank:
Collaboration diagram for feedforward_closedloop_learning.FeedforwardClosedloopLearningWithFilterbank:
Public Member Functions | |
| def | __init__ (self, "int" num_of_inputs, "int *" num_of_neurons_per_layer_array, "int" num_filtersInput, "double" minT, "double" maxT) |
| "void" | doStep (self, *args) |
| "double" | getFilterOutput (self, "int" inputIdx, "int" filterIdx) |
| "int" | getNFiltersPerInput (self) |
 Public Member Functions inherited from feedforward_closedloop_learning.FeedforwardClosedloopLearning | |
| def | __init__ (self, "int" num_of_inputs, "int *" num_of_neurons_per_layer_array) |
| "double" | getOutput (self, "int" index) |
| "void" | setLearningRate (self, "double" learningRate) |
| "void" | setLearningRateDiscountFactor (self, "double" _learningRateDiscountFactor) |
| "void" | setDecay (self, "double" decay) |
| "void" | setMomentum (self, "double" momentum) |
| "void" | setActivationFunction (self, "Neuron::ActivationFunction" _activationFunction) |
| "void" | initWeights (self, *args) |
| "void" | seedRandom (self, "int" s) |
| "void" | setBias (self, "double" _bias) |
| "int" | getNumLayers (self) |
| "Layer *" | getLayer (self, "int" i) |
| "Layer *" | getOutputLayer (self) |
| "int" | getNumInputs (self) |
| "Layer **" | getLayers (self) |
| "bool" | saveModel (self, "char const *" name) |
| "bool" | loadModel (self, "char const *" name) |
Properties | |
| thisown = property(lambda x: x.this.own(), lambda x, v: x.this.own(v), doc="The membership flag") | |
| Properties inherited from feedforward_closedloop_learning.FeedforwardClosedloopLearning | |
| thisown = property(lambda x: x.this.own(), lambda x, v: x.this.own(v), doc="The membership flag") | |
Detailed Description
Proxy of C++ FeedforwardClosedloopLearningWithFilterbank class.
Constructor & Destructor Documentation
◆ __init__()
| def feedforward_closedloop_learning.FeedforwardClosedloopLearningWithFilterbank.__init__ | ( | self, | |
| "int" | num_of_inputs, | ||
| "int *" | num_of_neurons_per_layer_array, | ||
| "int" | num_filtersInput, | ||
| "double" | minT, | ||
| "double" | maxT | ||
| ) |
__init__(FeedforwardClosedloopLearningWithFilterbank self, int num_of_inputs, int * num_of_neurons_per_layer_array, int num_filtersInput, double minT, double maxT) -> FeedforwardClosedloopLearningWithFilterbank Parameters ---------- num_of_inputs: int num_of_neurons_per_layer_array: int * num_filtersInput: int minT: double maxT: double
Member Function Documentation
◆ doStep()
| "void" feedforward_closedloop_learning.FeedforwardClosedloopLearningWithFilterbank.doStep | ( | self, | |
| * | args | ||
| ) |
doStep(FeedforwardClosedloopLearningWithFilterbank self, double * input, double * error) Parameters ---------- input: double * error: double * doStep(FeedforwardClosedloopLearningWithFilterbank self, double * input, double * error) Parameters ---------- input: double * error: double *
Reimplemented from feedforward_closedloop_learning.FeedforwardClosedloopLearning.
◆ getFilterOutput()
| "double" feedforward_closedloop_learning.FeedforwardClosedloopLearningWithFilterbank.getFilterOutput | ( | self, | |
| "int" | inputIdx, | ||
| "int" | filterIdx | ||
| ) |
getFilterOutput(FeedforwardClosedloopLearningWithFilterbank self, int inputIdx, int filterIdx) -> double Parameters ---------- inputIdx: int filterIdx: int
◆ getNFiltersPerInput()
| "int" feedforward_closedloop_learning.FeedforwardClosedloopLearningWithFilterbank.getNFiltersPerInput | ( | self | ) |
getNFiltersPerInput(FeedforwardClosedloopLearningWithFilterbank self) -> int
The documentation for this class was generated from the following file:
- feedforward_closedloop_learning.py
