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NeuralConvolutionalLayer.h
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31  * Written (W) 2014 Khaled Nasr
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33 
34 #ifndef __NEURALCONVOLUTIONALLAYER_H__
35 #define __NEURALCONVOLUTIONALLAYER_H__
36 
37 #include <shogun/lib/common.h>
40 
41 namespace shogun
42 {
60 {
61 public:
64 
90  int32_t num_maps,
91  int32_t input_width, int32_t input_height,
92  int32_t radius_x, int32_t radius_y,
93  int32_t pooling_width=1, int32_t pooling_height=1,
94  int32_t stride_x=1, int32_t stride_y=1);
95 
97 
105  virtual void set_batch_size(int32_t batch_size);
106 
116  virtual void initialize(CDynamicObjectArray* layers,
117  SGVector<int32_t> input_indices);
118 
133  virtual void initialize_parameters(SGVector<float64_t> parameters,
134  SGVector<bool> parameter_regularizable,
135  float64_t sigma);
136 
146  virtual void compute_activations(SGVector<float64_t> parameters,
147  CDynamicObjectArray* layers);
148 
174  virtual void compute_gradients(SGVector<float64_t> parameters,
175  SGMatrix<float64_t> targets,
176  CDynamicObjectArray* layers,
177  SGVector<float64_t> parameter_gradients);
178 
187  virtual void enforce_max_norm(SGVector<float64_t> parameters,
188  float64_t max_norm);
189 
190  virtual const char* get_name() const { return "NeuralConvolutionalLayer"; }
191 
192 private:
193  void init();
194 
195 protected:
197  int32_t m_num_maps;
198 
200  int32_t m_input_width;
201 
203  int32_t m_input_height;
204 
206  int32_t m_radius_x;
207 
209  int32_t m_radius_y;
210 
213 
216 
218  int32_t m_stride_x;
219 
221  int32_t m_stride_y;
222 
225 
228 
231 
234 
237 };
238 
239 }
240 #endif
virtual void initialize(CDynamicObjectArray *layers, SGVector< int32_t > input_indices)
EConvMapActivationFunction m_activation_function
virtual void compute_activations(SGVector< float64_t > parameters, CDynamicObjectArray *layers)
virtual void set_batch_size(int32_t batch_size)
virtual void enforce_max_norm(SGVector< float64_t > parameters, float64_t max_norm)
SGMatrix< float64_t > m_convolution_output_gradients
virtual void compute_gradients(SGVector< float64_t > parameters, SGMatrix< float64_t > targets, CDynamicObjectArray *layers, SGVector< float64_t > parameter_gradients)
Base class for neural network layers.
Definition: NeuralLayer.h:73
double float64_t
Definition: common.h:50
virtual void initialize_parameters(SGVector< float64_t > parameters, SGVector< bool > parameter_regularizable, float64_t sigma)
Dynamic array class for CSGObject pointers that creates an array that can be used like a list or an a...
virtual const char * get_name() const
Main component in convolutional neural networks
EConvMapActivationFunction
Determines the activation function for neurons in a convolutional feature map.

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