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NeuralLayers.h
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31  * Written (W) 2014 Sergey Lisitsyn
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33 
34 #ifndef __NEURALLAYERS_H__
35 #define __NEURALLAYERS_H__
36 
37 #include <shogun/lib/common.h>
38 #include <shogun/base/SGObject.h>
41 
42 namespace shogun
43 {
44 
55 class CNeuralLayers : public CSGObject
56 {
57 public:
59  CNeuralLayers();
60 
62  virtual ~CNeuralLayers();
63 
70  CNeuralLayers* input(int32_t size);
71 
78  CNeuralLayers* logistic(int32_t size);
79 
86  CNeuralLayers* linear(int32_t size);
87 
94  CNeuralLayers* rectified_linear(int32_t size);
95 
102  CNeuralLayers* leaky_rectified_linear(int32_t size);
103 
110  CNeuralLayers* softmax(int32_t size);
111 
117 
121 
124  void clear();
125 
128  bool empty();
129 
132  virtual const char* get_name() const;
133 
134 private:
135  CDynamicObjectArray* m_layers;
136 };
137 
138 }
139 #endif
CNeuralLayers * logistic(int32_t size)
CNeuralLayers * rectified_linear(int32_t size)
Base class for neural network layers.
Definition: NeuralLayer.h:87
CNeuralLayers * input(int32_t size)
CNeuralLayers * softmax(int32_t size)
CDynamicObjectArray * done()
Class SGObject is the base class of all shogun objects.
Definition: SGObject.h:115
Dynamic array class for CSGObject pointers that creates an array that can be used like a list or an a...
all of classes and functions are contained in the shogun namespace
Definition: class_list.h:18
CNeuralLayers * leaky_rectified_linear(int32_t size)
CNeuralLayers * linear(int32_t size)
virtual const char * get_name() const
A class to construct neural layers.
Definition: NeuralLayers.h:55
CNeuralLayers * with_layer(CNeuralLayer *layer)

SHOGUN Machine Learning Toolbox - Documentation