SHOGUN  4.2.0
 All Classes Namespaces Files Functions Variables Typedefs Enumerations Enumerator Friends Macros Modules Pages
Autoencoder.h
Go to the documentation of this file.
1 /*
2  * Copyright (c) 2014, Shogun Toolbox Foundation
3  * All rights reserved.
4  *
5  * Redistribution and use in source and binary forms, with or without
6  * modification, are permitted provided that the following conditions are met:
7 
8  * 1. Redistributions of source code must retain the above copyright notice,
9  * this list of conditions and the following disclaimer.
10  *
11  * 2. Redistributions in binary form must reproduce the above copyright notice,
12  * this list of conditions and the following disclaimer in the documentation
13  * and/or other materials provided with the distribution.
14  *
15  * 3. Neither the name of the copyright holder nor the names of its
16  * contributors may be used to endorse or promote products derived from this
17  * software without specific prior written permission.
18 
19  * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
20  * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
21  * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
22  * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE
23  * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
24  * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
25  * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
26  * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
27  * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
28  * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
29  * POSSIBILITY OF SUCH DAMAGE.
30  *
31  * Written (W) 2014 Khaled Nasr
32  */
33 
34 #ifndef __AUTOENCODER_H__
35 #define __AUTOENCODER_H__
36 
37 #include <shogun/lib/common.h>
40 
41 namespace shogun
42 {
43 template <class T> class CDenseFeatures;
44 class CNeuralConvolutionalLayer;
45 
48 {
51 
54 
57 };
58 
87 {
88 public:
90  CAutoencoder();
91 
103  CAutoencoder(int32_t num_inputs, CNeuralLayer* hidden_layer,
104  CNeuralLayer* decoding_layer=NULL, float64_t sigma = 0.01);
105 
117  CAutoencoder(int32_t input_width, int32_t input_height, int32_t input_num_channels,
118  CNeuralConvolutionalLayer* hidden_layer,
119  CNeuralConvolutionalLayer* decoding_layer, float64_t sigma = 0.01);
120 
127  virtual bool train(CFeatures* data);
128 
137 
146 
159  {
162  }
163 
164  virtual ~CAutoencoder() {}
165 
166  virtual const char* get_name() const { return "Autoencoder"; }
167 
179  void set_noise_type(EAENoiseType noise_type)
180  {
181  m_noise_type = noise_type;
182  }
183 
186  {
187  return m_noise_type;
188  }
189 
195  void set_noise_parameter(float64_t noise_parameter)
196  {
197  m_noise_parameter = noise_parameter;
198  }
199 
202  {
203  return m_noise_parameter;
204  }
205 
206 protected:
214 
215 private:
216  void init();
217 
219  template<class T>
220  SGVector<T> get_section(SGVector<T> v, int32_t i);
221 
222 protected:
233 
245 
248 };
249 }
250 #endif
virtual ~CAutoencoder()
Definition: Autoencoder.h:164
Represents a single layer neural autoencoder.
Definition: Autoencoder.h:86
virtual const char * get_name() const
Definition: Autoencoder.h:166
virtual CDenseFeatures< float64_t > * reconstruct(CDenseFeatures< float64_t > *data)
EAENoiseType m_noise_type
Definition: Autoencoder.h:244
A generic multi-layer neural network.
virtual void set_contraction_coefficient(float64_t coeff)
Definition: Autoencoder.h:158
Base class for neural network layers.
Definition: NeuralLayer.h:87
virtual float64_t compute_error(SGMatrix< float64_t > targets)
float64_t m_noise_parameter
Definition: Autoencoder.h:247
float64_t m_contraction_coefficient
Definition: Autoencoder.h:232
EAENoiseType
Determines the noise type for denoising autoencoders.
Definition: Autoencoder.h:47
shogun vector
virtual bool train(CFeatures *data)
Definition: Autoencoder.cpp:96
double float64_t
Definition: common.h:50
EAENoiseType get_noise_type()
Definition: Autoencoder.h:185
float64_t get_noise_parameter()
Definition: Autoencoder.h:201
virtual CDenseFeatures< float64_t > * transform(CDenseFeatures< float64_t > *data)
CNeuralLayer * get_layer(int32_t i)
all of classes and functions are contained in the shogun namespace
Definition: class_list.h:18
Main component in convolutional neural networks
The class Features is the base class of all feature objects.
Definition: Features.h:68
void set_noise_type(EAENoiseType noise_type)
Definition: Autoencoder.h:179
float64_t contraction_coefficient
Definition: NeuralLayer.h:338
void set_noise_parameter(float64_t noise_parameter)
Definition: Autoencoder.h:195

SHOGUN Machine Learning Toolbox - Documentation