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NeuralLayers.cpp
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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.
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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
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26  * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
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30  *
31  * Written (W) 2014 Khaled Nasr
32  */
33 
35 
41 
42 using namespace shogun;
43 
45 {
46 }
47 
49 {
50  SG_UNREF(m_layers)
51 }
52 
54 {
55  return with_layer(new CNeuralInputLayer(size));
56 }
57 
59 {
60  return with_layer(new CNeuralLogisticLayer(size));
61 }
62 
64 {
65  return with_layer(new CNeuralLinearLayer(size));
66 }
67 
69 {
70  return with_layer(new CNeuralRectifiedLinearLayer(size));
71 }
72 
74 {
75  return with_layer(new CNeuralSoftmaxLayer(size));
76 }
77 
79 {
80  m_layers->push_back(layer);
81  return this;
82 }
83 
85 {
86  SG_REF(m_layers);
87  return m_layers;
88 }
89 
91 {
92  m_layers->clear_array();
93 }
94 
96 {
97  return (m_layers->get_array_size() == 0);
98 }
99 
100 const char* CNeuralLayers::get_name() const
101 {
102  return "NeuralLayers";
103 }

SHOGUN Machine Learning Toolbox - Documentation