ITK  4.13.0
Insight Segmentation and Registration Toolkit
itkNeuralNetworkObject.h
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18 #ifndef itkNeuralNetworkObject_h
19 #define itkNeuralNetworkObject_h
20 
21 #include "itkDataObject.h"
22 #include "itkLayerBase.h"
24 
25 namespace itk
26 {
27 namespace Statistics
28 {
35 template<typename TMeasurementVector, typename TTargetVector >
36 class ITK_TEMPLATE_EXPORT NeuralNetworkObject : public DataObject
37 {
38 public:
39 
44 
46 
47  typedef TMeasurementVector MeasurementVectorType;
48  typedef typename MeasurementVectorType::ValueType ValueType;
50  typedef TTargetVector TargetVectorType;
51 
53 
54  virtual NetworkOutputType GenerateOutput(TMeasurementVector samplevector)=0;
55 
56  virtual void BackwardPropagate(NetworkOutputType errors) = 0;
57  virtual void UpdateWeights(ValueType) = 0;
58 
59 protected:
60 
62  virtual ~NeuralNetworkObject() ITK_OVERRIDE;
63 
65  virtual void PrintSelf( std::ostream& os, Indent indent ) const ITK_OVERRIDE;
66 
67  ValueType m_LearningRate;
68 
69 };
70 
71 } // end namespace Statistics
72 } // end namespace itk
73 
74 #ifndef ITK_MANUAL_INSTANTIATION
75 #include "itkNeuralNetworkObject.hxx"
76 #endif
77 
78 #endif
LayerBase< TMeasurementVector, TTargetVector > LayerInterfaceType
Array class with size defined at construction time.
Definition: itkArray.h:50
This is the itkLayerBase class.
Definition: itkLayerBase.h:38
MeasurementVectorType::ValueType ValueType
This is the itkNeuralNetworkObject class.
Control indentation during Print() invocation.
Definition: itkIndent.h:49
Base class for all data objects in ITK.