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NeuralInputLayer.h
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33 
34 #ifndef __NEURALINPUTLAYER_H__
35 #define __NEURALINPUTLAYER_H__
36 
37 #include <shogun/lib/common.h>
39 
40 namespace shogun
41 {
47 {
48 public:
51 
60  CNeuralInputLayer(int32_t num_neurons, int32_t start_index = 0);
61 
75  CNeuralInputLayer(int32_t width, int32_t height, int32_t num_channels,
76  int32_t start_index = 0);
77 
78  virtual ~CNeuralInputLayer() {}
79 
81  virtual bool is_input() { return true; }
82 
88  virtual void compute_activations(SGMatrix<float64_t> inputs);
89 
94  virtual int32_t get_start_index() { return m_start_index; }
95 
100  virtual void set_start_index(int32_t i) { m_start_index = i; }
101 
102  virtual const char* get_name() const { return "NeuralInputLayer"; }
103 
104 private:
105  void init();
106 
107 public:
112 
113 protected:
118  int32_t m_start_index;
119 };
120 }
121 #endif
virtual const char * get_name() const
virtual void set_start_index(int32_t i)
Base class for neural network layers.
Definition: NeuralLayer.h:87
virtual int32_t get_start_index()
double float64_t
Definition: common.h:50
Represents an input layer. The layer can be either connected to all the input features that a network...
all of classes and functions are contained in the shogun namespace
Definition: class_list.h:18
virtual void compute_activations(SGMatrix< float64_t > inputs)

SHOGUN Machine Learning Toolbox - Documentation